Overview / Usage

The idea of this project is to use causation instead of correlation to predict diseases that the patient can be suffering given some symptoms.

Methodology / Approach

The dataset used to predict diseases was verified by the doctors of local private hospitals. The Bayesian network has two layers of symptoms and diseases that can be a result of specified symptoms. A basic website is built where the user can input mentioned symptoms and a report stating the possible diseases is formed.

Technologies Used

Flask, sklearn, pandas, NumPy, pgmpy

Repository

https://github.com/SagarBajaj14/-SagarBajaj14-Disease-prediction-using-bayesian-network