A model that tries to diagnose a condition based on the symptoms selected. Initialy this model was made to be used as a standalone windows application using tkinter to render the UI. I adapted the model slightly so that it can be implemented inside other web based applications.

It is recommended that you use a virtual environment to manage your dependencies. For the purposes of this project I used pipenv.

1. Clone this repo git clone <repo url> .
2. Change your directory to the newly downloaded repo folder cd diagnosis.
3. Install the dependencies pipenv install -r requirements.txt.
4. Activate the virtual enviroment pipenv shell.
5. Run the model python prediction-model.py.
6. To exit the virtual enviroment exit.

The dataset for this project was collected from a study of university of Columbia. The study was performed at New York Presbyterian Hospital during 2004.

For a more extensive project based on the same dataset you can have a look here