Insurance Claiming Prognostication based on current stage of Breast Cancer

This repository contains improvements in the prognostication mechanism as well as claiming insurance automatically based on the stage of the cancer. The implementation is divided prominently into 3 major modules. Breast Cancer Detection, Breast Cancer Stage Detection, Insurance Claiming. The models are implmented using Sklearn and Deployed in Web Based Application using Flask.

Datasets Used

Breast Cancer Detection.
Breast Cancer Stage Detection.
Insurance Claiming ~ Custom made dummy dataset.

Using this Repo

1. Clone this repository

git clone https://github.com/kanuarj/CancerPredictionMechanism.git
cd CancerPredictionMechanism

2. Install required dependencies

pip install pandas scikit-learn flask seaborn matplotlib

3. Run the Application

py app.py

Note that py app.py specifically works for Windows. If you're using any other systems, please use python app.py

Understanding Files

app.py is Flask Deployment of Models.
model.py is Models implemented in joblib.
datasets folder has all the required datasets for this projects.
models folder all joblib models.
notebooks folder has all the Jupyter Notebooks of ML Implementations.
templates folder has all the Front end of the Flask Application.
visuals.py file has some experimental visualizations.

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Catch me on YouTube for some exciting videos on ML and Flask. Peace.