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module/PJI_NLP/README.md

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+
+# THA - Total Hip Arthroplasty
+
+## THA NLP System
+Process operative reports to classify a patient's status of approach, fixation and bearing surface
+@author Sunyang Fu, Sunghwan Sohn, Hilal Maradit Kremers, Walter Kremers, Ahmad Pahlavan Tafti, Elham Sagheb Hossein Pour, Cody Wyles, Meagan Tibbo, David Lewallen, Daniel Berry
+
+## CONFIGURATION:
+INPUT_DIR: full directory path of input folder
+OUTPUT_DIR: full directory path of output folder
+OUTPUT_SUMMARY_DIR: full directory path of output summary folder
+RULES_DIR: full directory path of 'TJA' folder
+
+## INPUT:
+ Input folder: the input folder contains a list of surgical reports 
+ Input file: document level .txt file. The naming convention of each report would be unique identifier + surgery date. P.S. one patient may have multiple surgeries. 
+ Input file preprocessing: replace all '/n' to '. '
+
+## RUN:
+ command line:
+ ```
+ ./runMedTagger-fit-tja.sh
+```
+## OUTPUT:
+ raw folder: concept level finding
+ summary folder: document level finding
+
+## REFERENCE: 
+Wyles CC, Tibbo ME, Fu S, Wang Y, Sohn S, Kremers WK, Berry DJ, Lewallen DG, Maradit-Kremers H. Use of Natural Language Processing Algorithms to Identify Common Data Elements in Operative Notes for Total Hip Arthroplasty. JBJS. 2019 Nov 6;101(21):1931-8.