tutorials/Spark_NLP_Display.ipynb

{
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  {
   "cell_type": "markdown",
   "metadata": {
    "id": "O7rf8pcS-vYP"
   },
   "source": [
    "\n",
    "\n",
    "![JohnSnowLabs](https://nlp.johnsnowlabs.com/assets/images/logo.png)\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/JohnSnowLabs/spark-nlp-display/blob/main/tutorials/Spark_NLP_Display.ipynb)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "cu022cz5-m8A"
   },
   "source": [
    "# **Spark NLP Display**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "MPq5GEK6HfvN"
   },
   "source": [
    "# **Public Models' Visualisations**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "iksnHoGcyGK0"
   },
   "outputs": [],
   "source": [
    "! apt-get update\n",
    "! apt-get purge -y openjdk-11* -qq > /dev/null && sudo apt-get autoremove -y -qq > /dev/null\n",
    "! apt-get install -y openjdk-8-jdk-headless -qq > /dev/null\n",
    "\n",
    "! pip install --ignore-installed -q pyspark==3.0.2\n",
    "\n",
    "# install sparknlp\n",
    "! pip install spark-nlp\n",
    "# install sparknlp-display\n",
    "! pip install spark-nlp-display"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "jZSN3W8xx7ay"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
    "import json\n",
    "from pyspark.ml import Pipeline\n",
    "from pyspark.sql import SparkSession\n",
    "import pyspark.sql.functions as F\n",
    "from sparknlp.annotator import *\n",
    "from sparknlp.base import *\n",
    "import sparknlp\n",
    "from sparknlp.pretrained import PretrainedPipeline\n",
    "from sparknlp.annotator import *\n",
    "from sparknlp.base import *\n",
    "\n",
    "spark = sparknlp.start()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4aIqjtNjy0ZG"
   },
   "source": [
    "## **Dependency Parser Visualisation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "TcjoaK1zy4Zj",
    "outputId": "7c8610b9-bc24-4510-e814-2ebdc7c00c80"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pos_anc download started this may take some time.\n",
      "Approximate size to download 4.3 MB\n",
      "[OK!]\n",
      "dependency_conllu download started this may take some time.\n",
      "Approximate size to download 16.6 MB\n",
      "[OK!]\n",
      "dependency_typed_conllu download started this may take some time.\n",
      "Approximate size to download 257.4 KB\n",
      "[OK!]\n"
     ]
    }
   ],
   "source": [
    "documentAssembler = DocumentAssembler()\\\n",
    "    .setInputCol(\"text\")\\\n",
    "    .setOutputCol(\"document\")\n",
    "\n",
    "tokenizer = Tokenizer() \\\n",
    "    .setInputCols([\"document\"]) \\\n",
    "    .setOutputCol(\"token\")\n",
    "\n",
    "pos = PerceptronModel.pretrained(\"pos_anc\", 'en')\\\n",
    "        .setInputCols(\"document\", \"token\")\\\n",
    "        .setOutputCol(\"pos\")\n",
    "\n",
    "chunker = Chunker()\\\n",
    "      .setInputCols([\"document\", \"pos\"])\\\n",
    "      .setOutputCol(\"chunk\")\\\n",
    "      .setRegexParsers([\"<NNP>+\", \"<DT>?<JJ>*<NN>\"])\n",
    "\n",
    "\n",
    "dep_parser = DependencyParserModel.pretrained('dependency_conllu')\\\n",
    "        .setInputCols([\"document\", \"pos\", \"token\"])\\\n",
    "        .setOutputCol(\"dependency\")\n",
    "\n",
    "\n",
    "typed_dep_parser = TypedDependencyParserModel.pretrained('dependency_typed_conllu')\\\n",
    "        .setInputCols([\"token\", \"pos\", \"dependency\"])\\\n",
    "        .setOutputCol(\"dependency_type\")\n",
    "\n",
    "\n",
    "nlpPipeline = Pipeline(\n",
    "      stages = [\n",
    "          documentAssembler,\n",
    "          tokenizer,\n",
    "          pos,\n",
    "          dep_parser,\n",
    "          typed_dep_parser\n",
    "      ])\n",
    "\n",
    "empty_df = spark.createDataFrame([['']]).toDF(\"text\")\n",
    "\n",
    "pipelineModel = nlpPipeline.fit(empty_df)\n",
    "lmodel = LightPipeline(pipelineModel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "zu3HKFMU6avR"
   },
   "outputs": [],
   "source": [
    "text = ['John Snow is a good man.']\n",
    "res = lmodel.fullAnnotate(text)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 471
    },
    "id": "FNcz18qOy4fs",
    "outputId": "db125874-4011-4ef2-ea39-3acb36b0f74c"
   },
   "outputs": [
    {
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       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sparknlp_display import DependencyParserVisualizer\n",
    "dependency_vis = DependencyParserVisualizer()\n",
    "dependency_vis.display(res, 'pos', 'dependency', 'dependency_type')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "QFR3Y0ooy5CU"
   },
   "source": [
    "## **NER Output Visualisation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "xzNPWhbQzL21"
   },
   "outputs": [],
   "source": [
    "example = [\n",
    "           \"The Mona Lisa is a 16th century oil painting created by Leonardo. It's held at the Louvre in Paris.\"\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "D15cZ7x0yr-T"
   },
   "source": [
    "### **Pre-trained pipeline**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "emLiZc9fyrg7",
    "outputId": "a9d33c6b-7577-4f39-ea63-4b41828f2ac5"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "recognize_entities_dl download started this may take some time.\n",
      "Approx size to download 159 MB\n",
      "[OK!]\n"
     ]
    }
   ],
   "source": [
    "pipeline = PretrainedPipeline('recognize_entities_dl', lang='en')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "VPOFr5DTzRqD",
    "outputId": "5b6c68e5-c082-4585-ee1a-e92b8dccda90"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['entities', 'document', 'token', 'ner', 'embeddings', 'sentence'])"
      ]
     },
     "execution_count": 9,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ppres = pipeline.fullAnnotate(example)[0]\n",
    "ppres.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 264
    },
    "id": "lycK0jxNzImE",
    "outputId": "2781a037-99cf-4dcc-ca84-af0f20a441d8"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Standard Output\n"
     ]
    },
    {
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       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
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       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
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       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
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       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #95EBCB\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #95EBCB\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. It's held at the </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #A2F6C8\"><span class=\"spark-nlp-display-entity-name\">Louvre </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #A2F6C8\"><span class=\"spark-nlp-display-entity-name\">Paris </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
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       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
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       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
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       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
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       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
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       "        font-family: 'Montserrat', sans-serif !important;\n",
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       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
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       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
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       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
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       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. It's held at the </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080\"><span class=\"spark-nlp-display-entity-name\">Louvre </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080\"><span class=\"spark-nlp-display-entity-name\">Paris </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
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       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
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       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
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       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
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       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
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       "        border-radius: 4px;\n",
       "        margin: 0 2px 5px 2px;\n",
       "        padding: 1px\n",
       "    }\n",
       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
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       "        border-width: medium;\n",
       "        text-align: center;\n",
       "        \n",
       "        font-weight: 400;\n",
       "        \n",
       "        border-radius: 5px;\n",
       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
       "    \n",
       "    }\n",
       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. It's held at the </span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">Louvre</span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">Paris</span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "color code for label \"LOC\": #008080\n"
     ]
    }
   ],
   "source": [
    "from sparknlp_display import NerVisualizer\n",
    "visualiser = NerVisualizer()\n",
    "print ('Standard Output')\n",
    "visualiser.display(ppres, label_col='entities', document_col='document')\n",
    "\n",
    "# Change color of an entity label\n",
    "visualiser.set_label_colors({'LOC':'#008080', 'PER':'#800080'})\n",
    "visualiser.display(ppres, label_col='entities')\n",
    "\n",
    "# Set label filter\n",
    "visualiser.display(ppres, label_col='entities', document_col='document',\n",
    "                   labels=['PER'])\n",
    "\n",
    "print ('color code for label \"LOC\": ' + visualiser.get_label_color('LOC'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AVoBwlVJyuM-"
   },
   "source": [
    "### **New Pipeline**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "m2CYYQI6yh1s",
    "outputId": "e8e061da-c07c-47a2-eda3-940daeb70fbb"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "glove_100d download started this may take some time.\n",
      "Approximate size to download 145.3 MB\n",
      "[OK!]\n",
      "ner_dl download started this may take some time.\n",
      "Approximate size to download 13.6 MB\n",
      "[OK!]\n"
     ]
    }
   ],
   "source": [
    "\n",
    "documentAssembler = DocumentAssembler()\\\n",
    "    .setInputCol(\"text\")\\\n",
    "    .setOutputCol(\"document\")\n",
    "\n",
    "tokenizer = Tokenizer() \\\n",
    "    .setInputCols([\"document\"]) \\\n",
    "    .setOutputCol(\"token\")\n",
    "\n",
    "embeddings = WordEmbeddingsModel.pretrained('glove_100d').\\\n",
    "                  setInputCols([\"document\", 'token']).\\\n",
    "                  setOutputCol(\"embeddings\")\n",
    "\n",
    "public_ner = NerDLModel.pretrained('ner_dl', 'en') \\\n",
    "          .setInputCols([\"document\", \"token\", \"embeddings\"]) \\\n",
    "          .setOutputCol(\"ner\")\n",
    "\n",
    "ner_converter = NerConverter() \\\n",
    "                .setInputCols([\"document\", \"token\", \"ner\"]) \\\n",
    "                  .setOutputCol(\"entities\")\n",
    "\n",
    "nlpPipeline = Pipeline(stages=[ documentAssembler, \n",
    "                                 tokenizer,\n",
    "                                 embeddings,\n",
    "                                 public_ner,\n",
    "                                 ner_converter\n",
    "                                 ])\n",
    "\n",
    "empty_df = spark.createDataFrame([['']]).toDF(\"text\")\n",
    "\n",
    "pipelineModel = nlpPipeline.fit(empty_df)\n",
    "lmodel = LightPipeline(pipelineModel)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zkAmPZmy0yBn"
   },
   "source": [
    "#### **Display using Light Pipeline results**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "-3WoSCJ3zB6Q",
    "outputId": "8b7ab49e-963f-4953-93bb-de017d166c99"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['entities', 'document', 'token', 'ner', 'embeddings'])"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpres = lmodel.fullAnnotate(example)[0]\n",
    "cpres.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 247
    },
    "id": "ht9vlfcYzGqx",
    "outputId": "44fec9d3-59fb-4f68-a110-71724fdbf061"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Standard Output\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@300;400;500;600;700&display=swap');\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
       "        \n",
       "    }\n",
       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
       "    \n",
       "        display: inline-grid;\n",
       "        text-align: center;\n",
       "        border-radius: 4px;\n",
       "        margin: 0 2px 5px 2px;\n",
       "        padding: 1px\n",
       "    }\n",
       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        background: #f1f2f3;\n",
       "        border-width: medium;\n",
       "        text-align: center;\n",
       "        \n",
       "        font-weight: 400;\n",
       "        \n",
       "        border-radius: 5px;\n",
       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
       "    \n",
       "    }\n",
       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #EFDFD6\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #EFDFD6\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. It's held at the </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #79EC78\"><span class=\"spark-nlp-display-entity-name\">Louvre </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #79EC78\"><span class=\"spark-nlp-display-entity-name\">Paris </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@300;400;500;600;700&display=swap');\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
       "        \n",
       "    }\n",
       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
       "    \n",
       "        display: inline-grid;\n",
       "        text-align: center;\n",
       "        border-radius: 4px;\n",
       "        margin: 0 2px 5px 2px;\n",
       "        padding: 1px\n",
       "    }\n",
       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        background: #f1f2f3;\n",
       "        border-width: medium;\n",
       "        text-align: center;\n",
       "        \n",
       "        font-weight: 400;\n",
       "        \n",
       "        border-radius: 5px;\n",
       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
       "    \n",
       "    }\n",
       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. It's held at the </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080\"><span class=\"spark-nlp-display-entity-name\">Louvre </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080\"><span class=\"spark-nlp-display-entity-name\">Paris </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@300;400;500;600;700&display=swap');\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
       "        \n",
       "    }\n",
       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
       "    \n",
       "        display: inline-grid;\n",
       "        text-align: center;\n",
       "        border-radius: 4px;\n",
       "        margin: 0 2px 5px 2px;\n",
       "        padding: 1px\n",
       "    }\n",
       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        background: #f1f2f3;\n",
       "        border-width: medium;\n",
       "        text-align: center;\n",
       "        \n",
       "        font-weight: 400;\n",
       "        \n",
       "        border-radius: 5px;\n",
       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
       "    \n",
       "    }\n",
       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. It's held at the </span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">Louvre</span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">Paris</span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sparknlp_display import NerVisualizer\n",
    "visualiser = NerVisualizer()\n",
    "print ('Standard Output')\n",
    "visualiser.display(ppres, label_col='entities', document_col='document')\n",
    "\n",
    "# Change color of an entity label\n",
    "visualiser.set_label_colors({'LOC':'#008080', 'PER':'#800080'})\n",
    "visualiser.display(ppres, label_col='entities')\n",
    "\n",
    "# Set label filter\n",
    "visualiser.display(ppres, label_col='entities', document_col='document',\n",
    "                   labels=['PER'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "9uD5lGDx012t"
   },
   "source": [
    "#### **Display using Full Pipeline results**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "k41B3NEw1G-j"
   },
   "outputs": [],
   "source": [
    "cpres_f = pipelineModel.transform(spark.createDataFrame(pd.DataFrame({'text':example})))\n",
    "cpres_f = cpres_f.collect()[0]\n",
    "#cpres_f.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 88
    },
    "id": "W5flm9TV5HPI",
    "outputId": "7f99eab1-f151-45e7-bed6-0dbe38b4ae22"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@300;400;500;600;700&display=swap');\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
       "        \n",
       "    }\n",
       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
       "    \n",
       "        display: inline-grid;\n",
       "        text-align: center;\n",
       "        border-radius: 4px;\n",
       "        margin: 0 2px 5px 2px;\n",
       "        padding: 1px\n",
       "    }\n",
       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        background: #f1f2f3;\n",
       "        border-width: medium;\n",
       "        text-align: center;\n",
       "        \n",
       "        font-weight: 400;\n",
       "        \n",
       "        border-radius: 5px;\n",
       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
       "    \n",
       "    }\n",
       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">The </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Mona Lisa </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> is a 16th century oil painting created by </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">Leonardo </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080\"><span class=\"spark-nlp-display-entity-name\">It's </span><span class=\"spark-nlp-display-entity-type\">PER</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> held at the </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080\"><span class=\"spark-nlp-display-entity-name\">Louvre </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080\"><span class=\"spark-nlp-display-entity-name\">Paris </span><span class=\"spark-nlp-display-entity-type\">LOC</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "visualiser.display(cpres_f, label_col='entities', document_col='document')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "C9fx_gGjHtrr"
   },
   "source": [
    "# **Licensed Models' Visualisations**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-ULLif4vH-K3"
   },
   "source": [
    "#### Restart Session and install Spark NLP JSL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "OASqP-PCIMuh"
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "def restart_runtime():\n",
    "  os.kill(os.getpid(), 9)\n",
    "restart_runtime()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "qDqIXsRsH9VR",
    "outputId": "da3ff825-7f9a-43cc-c410-c8df74af007b"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SparkNLP Version: 2.6.3\n",
      "SparkNLP-JSL Version: 2.7.0\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import json\n",
    "\n",
    "with open('/content/spark_nlp_for_healthcare.json', 'r') as f:\n",
    "    license_keys = json.load(f)\n",
    "\n",
    "license_keys.keys()\n",
    "\n",
    "secret = license_keys['SECRET']\n",
    "os.environ['SPARK_NLP_LICENSE'] = license_keys['SPARK_NLP_LICENSE']\n",
    "os.environ['AWS_ACCESS_KEY_ID'] = license_keys['AWS_ACCESS_KEY_ID']\n",
    "os.environ['AWS_SECRET_ACCESS_KEY'] = license_keys['AWS_SECRET_ACCESS_KEY']\n",
    "sparknlp_version = license_keys[\"PUBLIC_VERSION\"]\n",
    "jsl_version = license_keys[\"JSL_VERSION\"]\n",
    "\n",
    "print ('SparkNLP Version:', sparknlp_version)\n",
    "print ('SparkNLP-JSL Version:', jsl_version)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KZmofa2aIVZb",
    "outputId": "db61f4a1-6e34-4422-8451-b5f06db87bb6"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.org/simple, https://pypi.johnsnowlabs.com/2.7.0-e49fd2919a73690cd04ed3b6e223e21330c5214b\n",
      "Collecting spark-nlp-jsl==2.7.0\n",
      "\u001b[?25l  Downloading https://pypi.johnsnowlabs.com/2.7.0-e49fd2919a73690cd04ed3b6e223e21330c5214b/spark-nlp-jsl/spark_nlp_jsl-2.7.0-py3-none-any.whl (44kB)\n",
      "\u001b[K     |████████████████████████████████| 51kB 383kB/s \n",
      "\u001b[?25hRequirement already satisfied, skipping upgrade: spark-nlp==2.6.3 in /usr/local/lib/python3.6/dist-packages (from spark-nlp-jsl==2.7.0) (2.6.3)\n",
      "Installing collected packages: spark-nlp-jsl\n",
      "Successfully installed spark-nlp-jsl-2.7.0\n"
     ]
    }
   ],
   "source": [
    "# install sparknlp-jsl\n",
    "!python -m pip install --upgrade spark-nlp-jsl==$jsl_version --extra-index-url https://pypi.johnsnowlabs.com/$secret\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "iPmd8DrOIOqx"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "os.environ[\"JAVA_HOME\"] = \"/usr/lib/jvm/java-8-openjdk-amd64\"\n",
    "import json\n",
    "from pyspark.ml import Pipeline\n",
    "from pyspark.sql import SparkSession\n",
    "import pyspark.sql.functions as F\n",
    "from sparknlp.annotator import *\n",
    "from sparknlp.base import *\n",
    "import sparknlp\n",
    "from sparknlp.pretrained import PretrainedPipeline\n",
    "from sparknlp.annotator import *\n",
    "from sparknlp.base import *\n",
    "import sparknlp_jsl\n",
    "from sparknlp_jsl.annotator import *\n",
    "spark = sparknlp_jsl.start(secret)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3CwVx_r00-OA"
   },
   "source": [
    "## **Relation Extraction Visualisation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "hUVa2TXn1PaY",
    "outputId": "6b46d79f-b04f-4b25-8b43-89544d7c3c4f"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pos_clinical download started this may take some time.\n",
      "Approximate size to download 1.7 MB\n",
      "[OK!]\n",
      "dependency_conllu download started this may take some time.\n",
      "Approximate size to download 16.6 MB\n",
      "[OK!]\n",
      "embeddings_clinical download started this may take some time.\n",
      "Approximate size to download 1.6 GB\n",
      "[OK!]\n",
      "ner_clinical download started this may take some time.\n",
      "Approximate size to download 13.8 MB\n",
      "[OK!]\n",
      "re_clinical download started this may take some time.\n",
      "Approximate size to download 6 MB\n",
      "[OK!]\n"
     ]
    }
   ],
   "source": [
    "document_assembler = DocumentAssembler() \\\n",
    "    .setInputCol('text')\\\n",
    "    .setOutputCol('document')\n",
    "\n",
    "sentence_detector = SentenceDetector() \\\n",
    "    .setInputCols(['document'])\\\n",
    "    .setOutputCol('sentences')\n",
    "\n",
    "tokenizer = Tokenizer()\\\n",
    "    .setInputCols(['sentences']) \\\n",
    "    .setOutputCol('tokens')\n",
    "\n",
    "pos_tagger = PerceptronModel()\\\n",
    "    .pretrained(\"pos_clinical\", \"en\", \"clinical/models\") \\\n",
    "    .setInputCols([\"sentences\", \"tokens\"])\\\n",
    "    .setOutputCol(\"pos_tags\")\n",
    "\n",
    "dependency_parser = DependencyParserModel()\\\n",
    "    .pretrained(\"dependency_conllu\", \"en\")\\\n",
    "    .setInputCols([\"sentences\", \"pos_tags\", \"tokens\"])\\\n",
    "    .setOutputCol(\"dependencies\")\n",
    "\n",
    "embeddings = WordEmbeddingsModel.pretrained('embeddings_clinical', 'en', 'clinical/models')\\\n",
    "    .setInputCols([\"sentences\", \"tokens\"])\\\n",
    "    .setOutputCol(\"embeddings\")\n",
    "\n",
    "posology_ner_model = NerDLModel().pretrained('ner_clinical', 'en', 'clinical/models')\\\n",
    "    .setInputCols(\"sentences\", \"tokens\", \"embeddings\")\\\n",
    "    .setOutputCol(\"ner_tags\")   \n",
    "\n",
    "ner_chunker = NerConverter()\\\n",
    "    .setInputCols([\"sentences\", \"tokens\", \"ner_tags\"])\\\n",
    "    .setOutputCol(\"ner_chunk\")\n",
    "\n",
    "posology_re_Model = RelationExtractionModel()\\\n",
    "    .pretrained(\"re_clinical\", \"en\", \"clinical/models\")\\\n",
    "    .setInputCols([\"embeddings\", \"pos_tags\", \"ner_chunk\", \"dependencies\"])\\\n",
    "    .setOutputCol(\"relations\")\\\n",
    "    .setMaxSyntacticDistance(7)\n",
    "    \n",
    "pipeline = Pipeline(stages=[\n",
    "    document_assembler, \n",
    "    sentence_detector,\n",
    "    tokenizer,\n",
    "    pos_tagger,\n",
    "    dependency_parser,\n",
    "    embeddings,\n",
    "    posology_ner_model,\n",
    "    ner_chunker,\n",
    "    posology_re_Model])\n",
    "\n",
    "empty_df = spark.createDataFrame([['']]).toDF(\"text\")\n",
    "pipelineModel = pipeline.fit(empty_df)\n",
    "\n",
    "lmodel = sparknlp.base.LightPipeline(pipelineModel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "hvWWUS5l1Tky",
    "outputId": "ac717bf5-f9cb-4d5c-85dd-ccfa84e64de4"
   },
   "outputs": [
    {
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font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"141.39999999999998\" y=\"75\">case</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"194.89999999999998\" y=\"75\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"228.99999999999997\" y=\"75\">a</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"253.39999999999998\" y=\"75\">very</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"306.9\" y=\"75\">pleasant</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"399.2\" y=\"75\">46-year-old</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"520.6\" y=\"75\">Caucasian</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"622.6\" y=\"75\">female,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"705.2\" y=\"75\">seen</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"758.7\" y=\"75\">in</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"792.8000000000001\" y=\"75\">clinic</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"865.7\" y=\"75\">on</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"175\">12/11/07</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"102.3\" y=\"175\">during</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"175.2\" y=\"175\">which</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"238.39999999999998\" y=\"175\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"253.09999999999997\" y=\"175\">time MRI of the left shoulder</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"380.28181818181815\" y=\"195\">TEST</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"559.0999999999999\" y=\"175\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"573.8\" y=\"175\">showed</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"646.6999999999999\" y=\"175\">no</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"680.8\" y=\"175\">evidence</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"773.0999999999999\" y=\"175\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"807.1999999999999\" y=\"175\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"275\">rotator cuff tear</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"68.4\" y=\"295\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"199.6\" y=\"275\">.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"224.0\" y=\"275\">She</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"267.8\" y=\"275\">did</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"311.6\" y=\"275\">have</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"365.1\" y=\"275\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"379.8\" y=\"275\">a previous MRI of the cervical spine</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"540.9318181818181\" y=\"295\">TEST</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"753.7\" y=\"275\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"768.4000000000001\" y=\"275\">that</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"821.9000000000001\" y=\"275\">did</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"865.7\" y=\"275\">show</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"375\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"24.7\" y=\"375\">an osteophyte on the left C6-C7 level</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"180.09999999999997\" y=\"395\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"408.29999999999995\" y=\"375\">.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"432.69999999999993\" y=\"375\">Based</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"495.8999999999999\" y=\"375\">on</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"529.9999999999999\" y=\"375\">this,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"593.1999999999999\" y=\"375\">negative</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"685.4999999999999\" y=\"375\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"700.1999999999999\" y=\"375\">MRI of the shoulder</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"778.8818181818181\" y=\"395\">TEST</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"475\">,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"34.4\" y=\"475\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"78.19999999999999\" y=\"475\">patient</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"160.79999999999998\" y=\"475\">was</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"204.59999999999997\" y=\"475\">recommended</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"325.99999999999994\" y=\"475\">to</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"360.0999999999999\" y=\"475\">have</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"413.5999999999999\" y=\"475\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"428.2999999999999\" y=\"475\">anterior cervical discectomy</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"532.9954545454543\" y=\"495\">TREATMENT</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"724.5999999999999\" y=\"475\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"739.3\" y=\"475\">with</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"792.8\" y=\"475\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"575\">anterior interbody fusion at C6-C7 level</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"172.89545454545453\" y=\"595\">TREATMENT</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"422.7\" y=\"575\">.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"447.09999999999997\" y=\"575\">Operation,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"558.8\" y=\"575\">expected</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"651.0999999999999\" y=\"575\">outcome,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"743.3999999999999\" y=\"575\">risks,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"816.2999999999998\" y=\"575\">and</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"675\">benefits</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"102.3\" y=\"675\">were</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"155.8\" y=\"675\">discussed</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"257.8\" y=\"675\">with</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"311.3\" y=\"675\">her.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"364.8\" y=\"675\">Risks</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"428.0\" y=\"675\">include,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"520.3\" y=\"675\">but</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"564.0999999999999\" y=\"675\">not</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"607.8999999999999\" y=\"675\">exclusive</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"709.8999999999999\" y=\"675\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"743.9999999999999\" y=\"675\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"758.6999999999999\" y=\"675\">bleeding</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"773.4499999999999\" y=\"695\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"860.9999999999999\" y=\"675\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"875.6999999999999\" y=\"675\">and</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"24.7\" y=\"775\">infection</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"44.300000000000004\" y=\"795\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"136.7\" y=\"775\">,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"161.1\" y=\"775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"175.79999999999998\" y=\"775\">bleeding</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"190.54999999999998\" y=\"795\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"278.09999999999997\" y=\"775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"292.79999999999995\" y=\"775\">could</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"355.99999999999994\" y=\"775\">be</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"390.0999999999999\" y=\"775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"404.7999999999999\" y=\"775\">soft tissue bleeding</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"477.7499999999999\" y=\"795\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"623.4999999999999\" y=\"775\">,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"647.8999999999999\" y=\"775\">which</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"711.0999999999999\" y=\"775\">may</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"754.8999999999999\" y=\"775\">compromise</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"875\">airway</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"82.89999999999999\" y=\"875\">and</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"126.69999999999999\" y=\"875\">may</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"170.5\" y=\"875\">result</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"243.39999999999998\" y=\"875\">in</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"277.5\" y=\"875\">return</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"350.4\" y=\"875\">to</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"384.5\" y=\"875\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"428.3\" y=\"875\">operating</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"530.3\" y=\"875\">room</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"583.8\" y=\"875\">emergently</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"695.5\" y=\"875\">for</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"739.3\" y=\"875\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"754.0\" y=\"875\">evacuation</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"771.3954545454545\" y=\"895\">TREATMENT</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"875.7\" y=\"875\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"975\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"44.099999999999994\" y=\"975\">said</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"97.6\" y=\"975\">hematoma.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"199.6\" y=\"975\">There</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"262.8\" y=\"975\">is</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"296.9\" y=\"975\">also</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"350.4\" y=\"975\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"394.2\" y=\"975\">possibility</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"515.6\" y=\"975\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"549.7\" y=\"975\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"564.4000000000001\" y=\"975\">bleeding into the epidural space</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"695.5500000000001\" y=\"995\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1075\">,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"34.4\" y=\"1075\">which</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"97.6\" y=\"1075\">can</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"141.39999999999998\" y=\"1075\">compress</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"233.7\" y=\"1075\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"277.5\" y=\"1075\">spinal</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"350.4\" y=\"1075\">cord</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"403.9\" y=\"1075\">and</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"447.7\" y=\"1075\">result</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"520.6\" y=\"1075\">in</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"554.7\" y=\"1075\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"569.4000000000001\" y=\"1075\">weakness</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"584.1500000000001\" y=\"1095\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"671.7\" y=\"1075\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"686.4000000000001\" y=\"1075\">and</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"730.2\" y=\"1075\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1175\">numbness of all four extremities</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"141.14999999999998\" y=\"1195\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"345.09999999999997\" y=\"1175\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"359.79999999999995\" y=\"1175\">as</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"393.9\" y=\"1175\">well</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"447.4\" y=\"1175\">as</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"481.5\" y=\"1175\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"496.2\" y=\"1175\">impairment of bowel and bladder function</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"666.15\" y=\"1195\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1275\">.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"34.4\" y=\"1275\">However,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"126.69999999999999\" y=\"1275\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"170.5\" y=\"1275\">patient</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"253.1\" y=\"1275\">may</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"296.9\" y=\"1275\">develop</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"379.5\" y=\"1275\">deeper-seated</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"520.3\" y=\"1275\">infection,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"632.0\" y=\"1275\">which</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"695.2\" y=\"1275\">may</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"739.0\" y=\"1275\">require</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"821.6\" y=\"1275\">return</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1375\">to</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"44.099999999999994\" y=\"1375\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"87.89999999999999\" y=\"1375\">operating</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"189.89999999999998\" y=\"1375\">room.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"253.09999999999997\" y=\"1375\">Should</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"325.99999999999994\" y=\"1375\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"340.69999999999993\" y=\"1375\">the infection</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"379.69999999999993\" y=\"1395\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"491.4999999999999\" y=\"1375\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"506.1999999999999\" y=\"1375\">be</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"540.2999999999998\" y=\"1375\">in</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"574.3999999999999\" y=\"1375\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"618.1999999999998\" y=\"1375\">area</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"671.6999999999998\" y=\"1375\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"705.7999999999998\" y=\"1375\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1475\">the spinal instrumentation</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"104.99545454545454\" y=\"1495\">TREATMENT</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"286.9\" y=\"1475\">,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"311.29999999999995\" y=\"1475\">this</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"364.79999999999995\" y=\"1475\">will</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"418.29999999999995\" y=\"1475\">cause</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"481.49999999999994\" y=\"1475\">a</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"505.8999999999999\" y=\"1475\">dilemma</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"588.4999999999999\" y=\"1475\">since</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"651.6999999999999\" y=\"1475\">there</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"714.9\" y=\"1475\">might</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"778.1\" y=\"1475\">be</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"812.2\" y=\"1475\">a</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"836.6\" y=\"1475\">need</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1575\">to</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"44.099999999999994\" y=\"1575\">remove</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"116.99999999999999\" y=\"1575\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"131.7\" y=\"1575\">the spinal instrumentation</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"226.69545454545454\" y=\"1595\">TREATMENT</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"408.59999999999997\" y=\"1575\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"423.29999999999995\" y=\"1575\">and/or</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"496.19999999999993\" y=\"1575\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"510.8999999999999\" y=\"1575\">allograft</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"523.4454545454544\" y=\"1595\">TREATMENT</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"622.8999999999999\" y=\"1575\">.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"647.2999999999998\" y=\"1575\">There</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"710.4999999999999\" y=\"1575\">is</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"744.5999999999999\" y=\"1575\">also</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"798.0999999999999\" y=\"1575\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1675\">possibility</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"131.39999999999998\" y=\"1675\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"165.49999999999997\" y=\"1675\">potential</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"267.5\" y=\"1675\">injury</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"340.4\" y=\"1675\">to</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"374.5\" y=\"1675\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"418.3\" y=\"1675\">esophageus,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"539.7\" y=\"1675\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"583.5\" y=\"1675\">trachea,</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"675.8\" y=\"1675\">and</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"719.5999999999999\" y=\"1675\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"763.3999999999999\" y=\"1675\">carotid</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1775\">artery.</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"92.6\" y=\"1775\">There</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"155.79999999999998\" y=\"1775\">is</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"189.89999999999998\" y=\"1775\">also</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"243.39999999999998\" y=\"1775\">the</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"287.2\" y=\"1775\">risks</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"350.4\" y=\"1775\">of</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"384.5\" y=\"1775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"399.2\" y=\"1775\">stroke on the right cerebral circulation</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"569.15\" y=\"1795\">PROBLEM</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"811.9\" y=\"1775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"826.6\" y=\"1775\">should</text><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"899.5\" y=\"1775\" /><text fill=\"#546c74\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1875\">an undiagnosed plaque</text><text fill=\"#1f77b7\" font-family=\"Lucida\" font-size=\"12\" style=\"font-weight:lighter\" x=\"87.79999999999998\" y=\"1895\">PROBLEM</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"238.39999999999998\" y=\"1875\" /><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"253.09999999999997\" y=\"1875\">be</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"287.19999999999993\" y=\"1875\">propelled</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"389.19999999999993\" y=\"1875\">from</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"442.69999999999993\" y=\"1875\">the</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"486.49999999999994\" y=\"1875\">right</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"549.6999999999999\" y=\"1875\">carotid.</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"641.9999999999999\" y=\"1875\">She</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"685.7999999999998\" y=\"1875\">understood</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"797.4999999999998\" y=\"1875\">all</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"841.2999999999997\" y=\"1875\">of</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"10\" y=\"1975\">these</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"73.19999999999999\" y=\"1975\">risks</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"136.39999999999998\" y=\"1975\">and</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"180.2\" y=\"1975\">agreed</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"253.09999999999997\" y=\"1975\">to</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"287.19999999999993\" y=\"1975\">have</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"340.69999999999993\" y=\"1975\">the</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"384.49999999999994\" y=\"1975\">procedure</text><text fill=\"#546c77\" font-family=\"Lucida\" font-size=\"16\" style=\"font-weight:100\" x=\"486.49999999999994\" y=\"1975\">performed.</text><polyline fill=\"none\" points=\"206.0,755.0 204.71428571428572,753.7960798646823 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168.71428571428572,724.0203911635458 167.42857142857144,723.2379790733453 166.14285714285717,722.4846365034978 164.85714285714283,721.7613324380147 163.57142857142856,721.0690358609083 162.2857142857143,720.4087157561901 161.0,719.7813411078719 159.71428571428572,719.1878808999652 158.42857142857144,718.6293041164821 157.14285714285717,718.1065797414343 155.8571428571429,717.6206767588335 154.57142857142858,717.1725641526916 153.28571428571428,716.76321090702 152.0,716.3935860058309 150.7142857142857,716.0646584331358 149.42857142857144,715.7773971729466 148.14285714285717,715.5327712092751 146.85714285714286,715.3317495261329 145.57142857142858,715.1753011075318 144.28571428571428,715.0643949374835 143.0,715.0 143.0,715.0 141.71428571428567,714.9827622844223 140.4285714285714,715.0120358014092 139.14285714285717,715.0868515669491 137.85714285714286,715.2062405970302 136.57142857142856,715.3692339076405 135.28571428571428,715.5748625147684 134.00000000000006,715.8221574344026 132.71428571428572,716.1101496825303 131.42857142857144,716.4378702751405 130.1428571428571,716.804350228221 128.85714285714286,717.2086205577607 127.57142857142856,717.6497122797472 126.28571428571428,718.1266564101691 125.0,718.6384839650145 123.71428571428574,719.1842259602718 122.42857142857144,719.7629134119287 121.14285714285715,720.3735773359739 119.85714285714286,721.0152487483956 118.57142857142857,721.6869586651819 117.28571428571426,722.3877381023211 115.99999999999999,723.1166180758016 114.71428571428572,723.8726296016115 113.42857142857142,724.6548036957389 112.14285714285715,725.4621713741723 110.85714285714286,726.2937636528998 109.57142857142857,727.1486115479095 108.28571428571429,728.0257460751898 107.0,728.9241982507289 105.71428571428572,729.842999090515 104.42857142857143,730.7811796105365 103.14285714285715,731.7377708267813 101.85714285714286,732.711803755238 100.57142857142856,733.7023094118946 99.28571428571428,734.7083188127395 98.0,735.7288629737609 96.71428571428572,736.7629729109469 95.42857142857144,737.8096796402858 94.14285714285715,738.8680141777661 92.85714285714286,739.9370075393756 91.57142857142858,741.0156907411027 90.28571428571429,742.1030947989358 89.0,743.1982507288631 87.71428571428572,744.3001895468724 86.42857142857144,745.4079422689525 85.14285714285715,746.5205399110915 83.85714285714286,747.6370134892775 82.57142857142857,748.7563940194987 81.28571428571428,749.8777125177435 80.0,751.0\" stroke=\"#39bf7f\" stroke-width=\"1\" /><polyline fill=\"none\" points=\"86.98660533216089,752.0896540426306 80,751 81.08965404263058,744.0133946678391 80,751\" stroke=\"#39bf7f\" stroke-width=\"1\" /><rect fill=\"white\" height=\"13\" rx=\"2\" ry=\"2\" stroke=\"#39bf7f\" stroke-width=\"1\" transform=\"rotate(1.8183029644518331 141.5 716.5)\" width=\"35.22222222222222\" x=\"123.88888888888889\" y=\"710\" /><text fill=\"#39bf7f\" font-family=\"courier\" font-size=\"12\" transform=\"rotate(1.8183029644518331 141.5 716.5)\" 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rx=\"2\" ry=\"2\" stroke=\"#39bf7f\" stroke-width=\"1\" transform=\"rotate(-5.3970988402365725 422.5 719.0)\" width=\"35.22222222222222\" x=\"404.8888888888889\" y=\"712.5\" /><text fill=\"#39bf7f\" font-family=\"courier\" font-size=\"12\" transform=\"rotate(-5.3970988402365725 422.5 719.0)\" x=\"407.8888888888889\" y=\"722.5\">TrCP</text></svg>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = [\n",
    "        \"\"\"This is the case of a very pleasant 46-year-old Caucasian female, seen in clinic on 12/11/07 during which time MRI of the left shoulder showed no evidence of rotator cuff tear. She did have a previous MRI of the cervical spine that did show an osteophyte on the left C6-C7 level. Based on this, negative MRI of the shoulder, the patient was recommended to have anterior cervical discectomy with anterior interbody fusion at C6-C7 level. Operation, expected outcome, risks, and benefits were discussed with her. Risks include, but not exclusive of bleeding and infection, bleeding could be soft tissue bleeding, which may compromise airway and may result in return to the operating room emergently for evacuation of said hematoma. There is also the possibility of bleeding into the epidural space, which can compress the spinal cord and result in weakness and numbness of all four extremities as well as impairment of bowel and bladder function. However, the patient may develop deeper-seated infection, which may require return to the operating room. Should the infection be in the area of the spinal instrumentation, this will cause a dilemma since there might be a need to remove the spinal instrumentation and/or allograft. There is also the possibility of potential injury to the esophageus, the trachea, and the carotid artery. There is also the risks of stroke on the right cerebral circulation should an undiagnosed plaque be propelled from the right carotid. She understood all of these risks and agreed to have the procedure performed.\"\"\",\n",
    "]\n",
    "res = lmodel.fullAnnotate(text)[0]\n",
    "\n",
    "from sparknlp_display import RelationExtractionVisualizer\n",
    "\n",
    "vis = RelationExtractionVisualizer()\n",
    "vis.display(res, 'relations', show_relations=True) # default show_relations: True\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8bQmNVDJ1aQT"
   },
   "source": [
    "## **Entity Resolution Visualisation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ZfOj1kVE1jPL",
    "outputId": "d227f9a7-2e7c-4f8e-b3d2-cfdbe522166c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "embeddings_clinical download started this may take some time.\n",
      "Approximate size to download 1.6 GB\n",
      "[OK!]\n",
      "ner_clinical download started this may take some time.\n",
      "Approximate size to download 13.8 MB\n",
      "[OK!]\n",
      "chunkresolve_snomed_findings_clinical download started this may take some time.\n",
      "Approximate size to download 162.6 MB\n",
      "[OK!]\n"
     ]
    }
   ],
   "source": [
    "document_assembler = DocumentAssembler() \\\n",
    "    .setInputCol('text')\\\n",
    "    .setOutputCol('document')\n",
    "\n",
    "sentence_detector = SentenceDetector() \\\n",
    "    .setInputCols(['document'])\\\n",
    "    .setOutputCol('sentences')\n",
    "\n",
    "tokenizer = Tokenizer()\\\n",
    "    .setInputCols(['sentences']) \\\n",
    "    .setOutputCol('tokens')\n",
    "\n",
    "embeddings = WordEmbeddingsModel.pretrained('embeddings_clinical', 'en', 'clinical/models')\\\n",
    "    .setInputCols([\"sentences\", \"tokens\"])\\\n",
    "    .setOutputCol(\"embeddings\")\n",
    "\n",
    "ner_model = NerDLModel().pretrained('ner_clinical', 'en', 'clinical/models')\\\n",
    "    .setInputCols(\"sentences\", \"tokens\", \"embeddings\")\\\n",
    "    .setOutputCol(\"ner_tags\")   \n",
    "\n",
    "ner_chunker = NerConverter()\\\n",
    "    .setInputCols([\"sentences\", \"tokens\", \"ner_tags\"])\\\n",
    "    .setOutputCol(\"ner_chunk\")#.setWhiteList(['PROBLEM','TREATMENT'])\n",
    "\n",
    "chunk_embeddings = ChunkEmbeddings()\\\n",
    "    .setInputCols(\"ner_chunk\", \"embeddings\")\\\n",
    "    .setOutputCol(\"chunk_embeddings\")\n",
    "\n",
    "entity_resolver = \\\n",
    "    ChunkEntityResolverModel.pretrained(\"chunkresolve_snomed_findings_clinical\",\"en\",\"clinical/models\")\\\n",
    "    .setInputCols(\"tokens\",\"chunk_embeddings\").setOutputCol(\"resolution\")\n",
    "    \n",
    "pipeline = Pipeline(stages=[\n",
    "    document_assembler, \n",
    "    sentence_detector,\n",
    "    tokenizer,\n",
    "    embeddings,\n",
    "    ner_model,\n",
    "    ner_chunker,\n",
    "    chunk_embeddings,\n",
    "    entity_resolver])\n",
    "\n",
    "empty_df = spark.createDataFrame([['']]).toDF(\"text\")\n",
    "pipelineModel = pipeline.fit(empty_df)\n",
    "\n",
    "lmodel = sparknlp.base.LightPipeline(pipelineModel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "QCzoW-sO1j3l",
    "outputId": "fb126552-e9a4-48e6-8186-1aeec5eb6a4c"
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
       "        \n",
       "    }\n",
       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
       "    \n",
       "        display: inline-grid;\n",
       "        text-align: center;\n",
       "        border-radius: 4px;\n",
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       "        font-family: 'Montserrat', sans-serif !important;\n",
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       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
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       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
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       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">This is the case of a very pleasant 46-year-old Caucasian female, seen in clinic on 12/11/07 during which </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #e6ccffB3\"><span class=\"spark-nlp-display-entity-name\">time MRI of the left shoulder </span><span class=\"spark-nlp-display-entity-type\">TEST</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #e6ccffFF\">11780921000119100 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #e6ccffCC\">Injury of left shoulder</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> showed no evidence of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">rotator cuff tear </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">4106009 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Rotator cuff tear</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. She did have </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #e6ccffB3\"><span class=\"spark-nlp-display-entity-name\">a previous MRI of the cervical spine </span><span class=\"spark-nlp-display-entity-type\">TEST</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #e6ccffFF\">116275003 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #e6ccffCC\">Finding of cervical spine</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> that did show </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">an osteophyte on the left C6-C7 level </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">316551000119104 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Osteophyte of left ankle (disorder)</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. Based on this, negative </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #e6ccffB3\"><span class=\"spark-nlp-display-entity-name\">MRI of the shoulder </span><span class=\"spark-nlp-display-entity-type\">TEST</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #e6ccffFF\">267949000 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #e6ccffCC\">Arthralgia of the shoulder region</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, the patient was recommended to have </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">anterior cervical discectomy </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">109402007 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Anterior perimaxillary faciosynostosis</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> with </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">anterior interbody fusion at C6-C7 level </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">721515003 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Anterior cord syndrome of spinal cord at fourth lumbar level</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. Operation, expected outcome, risks, and benefits were discussed with her. Risks include, but not exclusive of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">bleeding </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">266603000 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Ovulation bleeding</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> and </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">infection </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">128351009 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Eye infection</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">bleeding </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">266603000 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Ovulation bleeding</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> could be </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">soft tissue bleeding </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">95880003 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Soft tissue infection</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, which may compromise airway and may result in return to the operating room emergently for </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">evacuation </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">249515001 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Incomplete bowel evacuation</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> of said </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">hematoma </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">236002003 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Retroperitoneal hematoma</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. There is also the possibility of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">bleeding into the epidural space </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">450379002 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Haemorrhage into epidural space of spine</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, which can compress the spinal cord and result in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">weakness </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">13791008 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Weakness</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> and </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">numbness of all four extremities </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">609554006 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Paralytic syndrome of all four limbs</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> as well as </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">impairment of bowel and bladder function </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">129023004 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Maintains bowel and bladder continence</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. However, the patient may develop </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">deeper-seated infection </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">419468003 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Gardnerella infection</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, which may require return to the operating room. Should </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">the infection </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">419468003 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Gardnerella infection</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> be in the area of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">the spinal instrumentation </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">307211004 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Nonunion of spinal fusion</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, this will cause a dilemma since there might be a need to remove </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">the spinal instrumentation </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">307211004 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Nonunion of spinal fusion</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> and/or </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">allograft </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">314002005 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Corneal allograft rejection</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. There is also the possibility of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">potential injury to the esophageus, the trachea, and the carotid artery </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">285709007 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Injury of artery of head and neck (disorder)</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. There is also the risks of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">stroke on the right cerebral circulation </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">230696001 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Posterior cerebral circulation stroke</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> should </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">an undiagnosed plaque </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">276321008 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080CC\">Mucosal plaque (finding)</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> be propelled from the right carotid. She understood all of these risks and agreed to have </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #008080B3\"><span class=\"spark-nlp-display-entity-name\">the procedure </span><span class=\"spark-nlp-display-entity-type\">TREATMENT</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080FF\">183815004 </span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #008080CC\">Admission fundable procedure</span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> performed.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = [\n",
    "        \"\"\"This is the case of a very pleasant 46-year-old Caucasian female, seen in clinic on 12/11/07 during which time MRI of the left shoulder showed no evidence of rotator cuff tear. She did have a previous MRI of the cervical spine that did show an osteophyte on the left C6-C7 level. Based on this, negative MRI of the shoulder, the patient was recommended to have anterior cervical discectomy with anterior interbody fusion at C6-C7 level. Operation, expected outcome, risks, and benefits were discussed with her. Risks include, but not exclusive of bleeding and infection, bleeding could be soft tissue bleeding, which may compromise airway and may result in return to the operating room emergently for evacuation of said hematoma. There is also the possibility of bleeding into the epidural space, which can compress the spinal cord and result in weakness and numbness of all four extremities as well as impairment of bowel and bladder function. However, the patient may develop deeper-seated infection, which may require return to the operating room. Should the infection be in the area of the spinal instrumentation, this will cause a dilemma since there might be a need to remove the spinal instrumentation and/or allograft. There is also the possibility of potential injury to the esophageus, the trachea, and the carotid artery. There is also the risks of stroke on the right cerebral circulation should an undiagnosed plaque be propelled from the right carotid. She understood all of these risks and agreed to have the procedure performed.\"\"\",\n",
    "]\n",
    "res = lmodel.fullAnnotate(text)[0]\n",
    "\n",
    "from sparknlp_display import EntityResolverVisualizer\n",
    "\n",
    "vis = EntityResolverVisualizer()\n",
    "vis.set_label_colors({'TREATMENT':'#008080', 'problem':'#800080'})\n",
    "vis.display(res, 'ner_chunk', 'resolution')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "p7miDjgYlgq8"
   },
   "source": [
    "## **Assertion Status Visualisation**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zC3DeBKmlmHZ",
    "outputId": "e89f5a99-7ce8-4e98-eba4-9accbf636dc7"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "embeddings_clinical download started this may take some time.\n",
      "Approximate size to download 1.6 GB\n",
      "[OK!]\n",
      "ner_clinical download started this may take some time.\n",
      "Approximate size to download 13.8 MB\n",
      "[OK!]\n",
      "assertion_dl download started this may take some time.\n",
      "Approximate size to download 1.3 MB\n",
      "[OK!]\n"
     ]
    }
   ],
   "source": [
    "documentAssembler = DocumentAssembler()\\\n",
    "  .setInputCol(\"text\")\\\n",
    "  .setOutputCol(\"document\")\n",
    "\n",
    "sentenceDetector = SentenceDetector()\\\n",
    "  .setInputCols([\"document\"])\\\n",
    "  .setOutputCol(\"sentence\")\n",
    "\n",
    "tokenizer = Tokenizer()\\\n",
    "  .setInputCols([\"sentence\"])\\\n",
    "  .setOutputCol(\"token\")\n",
    "\n",
    "word_embeddings = WordEmbeddingsModel.pretrained(\"embeddings_clinical\", \"en\", \"clinical/models\")\\\n",
    "  .setInputCols([\"sentence\", \"token\"])\\\n",
    "  .setOutputCol(\"embeddings\")\n",
    "\n",
    "clinical_ner = NerDLModel.pretrained(\"ner_clinical\", \"en\", \"clinical/models\") \\\n",
    "  .setInputCols([\"sentence\", \"token\", \"embeddings\"]) \\\n",
    "  .setOutputCol(\"ner\")\n",
    "\n",
    "ner_converter = NerConverter() \\\n",
    "  .setInputCols([\"sentence\", \"token\", \"ner\"]) \\\n",
    "  .setOutputCol(\"ner_chunk\").setWhiteList(['PROBLEM'])\n",
    "\n",
    "clinical_assertion = AssertionDLModel.pretrained(\"assertion_dl\", \"en\", \"clinical/models\") \\\n",
    "    .setInputCols([\"sentence\", \"ner_chunk\", \"embeddings\"]) \\\n",
    "    .setOutputCol(\"assertion\")\n",
    "    \n",
    "nlpPipeline = Pipeline(stages=[\n",
    "    documentAssembler, \n",
    "    sentenceDetector,\n",
    "    tokenizer,\n",
    "    word_embeddings,\n",
    "    clinical_ner,\n",
    "    ner_converter,\n",
    "    clinical_assertion\n",
    "    ])\n",
    "\n",
    "empty_data = spark.createDataFrame([[\"\"]]).toDF(\"text\")\n",
    "\n",
    "model = nlpPipeline.fit(empty_data)\n",
    "\n",
    "lmodel = LightPipeline(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 921
    },
    "id": "T9qaR9J-mQ7z",
    "outputId": "57591135-3c7c-4726-b6b6-b6a45bf90927"
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@300;400;500;600;700&display=swap');\n",
       "    @import url('https://fonts.googleapis.com/css2?family=Vistol Regular:wght@300;400;500;600;700&display=swap');\n",
       "    \n",
       "    .spark-nlp-display-scroll-entities {\n",
       "        border: 1px solid #E7EDF0;\n",
       "        border-radius: 3px;\n",
       "        text-align: justify;\n",
       "        \n",
       "    }\n",
       "    .spark-nlp-display-scroll-entities span {  \n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #536B76;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-wrapper{\n",
       "    \n",
       "        display: inline-grid;\n",
       "        text-align: center;\n",
       "        border-radius: 4px;\n",
       "        margin: 0 2px 5px 2px;\n",
       "        padding: 1px\n",
       "    }\n",
       "    .spark-nlp-display-entity-name{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        background: #f1f2f3;\n",
       "        border-width: medium;\n",
       "        text-align: center;\n",
       "        \n",
       "        font-weight: 400;\n",
       "        \n",
       "        border-radius: 5px;\n",
       "        padding: 2px 5px;\n",
       "        display: block;\n",
       "        margin: 3px 2px;\n",
       "    \n",
       "    }\n",
       "    .spark-nlp-display-entity-type{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-entity-resolution{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        color: #ffffff;\n",
       "        font-family: 'Vistol Regular', sans-serif !important;\n",
       "        \n",
       "        text-transform: uppercase;\n",
       "        \n",
       "        font-weight: 500;\n",
       "\n",
       "        display: block;\n",
       "        padding: 3px 5px;\n",
       "    }\n",
       "    \n",
       "    .spark-nlp-display-others{\n",
       "        font-size: 14px;\n",
       "        line-height: 24px;\n",
       "        font-family: 'Montserrat', sans-serif !important;\n",
       "        \n",
       "        font-weight: 400;\n",
       "    }\n",
       "\n",
       "</style>\n",
       " <span class=\"spark-nlp-display-others\" style=\"background-color: white\">This is the case of a very pleasant 46-year-old Caucasian female, seen in clinic on 12/11/07 during which time MRI of the left shoulder showed no evidence of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">rotator cuff tear </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">absent </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. She did have a previous MRI of the cervical spine that did show </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">an osteophyte on the left C6-C7 level </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. Based on this, negative MRI of the shoulder, the patient was recommended to have anterior cervical discectomy with anterior interbody fusion at C6-C7 level. Operation, expected outcome, risks, and benefits were discussed with her. Risks include, but not exclusive of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">bleeding </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> and </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">infection </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">bleeding </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> could be </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">soft tissue bleeding </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, which may compromise airway and may result in return to the operating room emergently for evacuation of said </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">hematoma </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. There is also the possibility of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">bleeding into the epidural space </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">possible </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, which can compress the spinal cord and result in </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">weakness </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> and </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">numbness of all four extremities </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> as well as </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">impairment of bowel and bladder function </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">present </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. However, the patient may develop </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">deeper-seated infection </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">possible </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">, which may require return to the operating room. Should </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">the infection </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">possible </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> be in the area of the spinal instrumentation, this will cause a dilemma since there might be a need to remove the spinal instrumentation and/or allograft. There is also the possibility of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">potential injury to the esophageus, the trachea, and the carotid artery </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">possible </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\">. There is also the risks of </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">stroke on the right cerebral circulation </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">possible </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> should </span><span class=\"spark-nlp-display-entity-wrapper\" style=\"background-color: #800080B3\"><span class=\"spark-nlp-display-entity-name\">an undiagnosed plaque </span><span class=\"spark-nlp-display-entity-type\">PROBLEM</span><span class=\"spark-nlp-display-entity-resolution\" style=\"background-color: #800080FF\">possible </span></span><span class=\"spark-nlp-display-others\" style=\"background-color: white\"> be propelled from the right carotid. She understood all of these risks and agreed to have the procedure performed.</span></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {
      "tags": []
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "text = [\n",
    "        \"\"\"This is the case of a very pleasant 46-year-old Caucasian female, seen in clinic on 12/11/07 during which time MRI of the left shoulder showed no evidence of rotator cuff tear. She did have a previous MRI of the cervical spine that did show an osteophyte on the left C6-C7 level. Based on this, negative MRI of the shoulder, the patient was recommended to have anterior cervical discectomy with anterior interbody fusion at C6-C7 level. Operation, expected outcome, risks, and benefits were discussed with her. Risks include, but not exclusive of bleeding and infection, bleeding could be soft tissue bleeding, which may compromise airway and may result in return to the operating room emergently for evacuation of said hematoma. There is also the possibility of bleeding into the epidural space, which can compress the spinal cord and result in weakness and numbness of all four extremities as well as impairment of bowel and bladder function. However, the patient may develop deeper-seated infection, which may require return to the operating room. Should the infection be in the area of the spinal instrumentation, this will cause a dilemma since there might be a need to remove the spinal instrumentation and/or allograft. There is also the possibility of potential injury to the esophageus, the trachea, and the carotid artery. There is also the risks of stroke on the right cerebral circulation should an undiagnosed plaque be propelled from the right carotid. She understood all of these risks and agreed to have the procedure performed.\"\"\",\n",
    "]\n",
    "res = lmodel.fullAnnotate(text)[0]\n",
    "\n",
    "from sparknlp_display import AssertionVisualizer\n",
    "\n",
    "vis = AssertionVisualizer()\n",
    "vis.set_label_colors({'TREATMENT':'#008080', 'problem':'#800080'})\n",
    "vis.display(res, 'ner_chunk', 'assertion')\n"
   ]
  }
 ],
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