This is a diabetes detection web application that uses machine learning to detect whether someone has diabetes that uses the Pima Indians Diabetes Database. It utilzes the Streamlit libary.
This dataset was derived from Kaggle. It is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. This will be used to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset.
Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage.
- Number of Pregnancies
- Body Mass Index(BMI)
- Insulin Level
- Age
- Blood Pressure
- Skin Thickness
- Diabetes Pedigree Function
- Logistic Regression
- Random Forest Classifier
- K Nearest Neighbors
- To run, install requirements.txt then run this command:
streamlit run app.py
The notebook is also included in this repo, feel free to fork and improve this project 😃