Disease Prediction using Machine Learning

Introduction

• This project is based on the idea of predicting the disease of a patient based on the symptoms he/she is facing.
• The dataset used for this project is taken from Kaggle.
• The dataset contains 4920 rows and 132 columns.
• The dataset contains the name of the disease, the symptoms of the disease and the description of the disease.
• The dataset is in the form of a csv file.

Procedure

• The dataset is cleaned and preprocessed.
• The dataset is then split into training and testing data.
• The training data is then used to train the model.
• The model is then tested on the testing data.
• The model is then used to predict the disease of a patient based on the symptoms he/she is facing.

Technologies Used

ML

• Python
• Scikit-learn
• Pandas
• Numpy

Web

• React
• Node.js
• Express.js

How to run the project

• Clone the repository.
• Open the terminal in the project directory.
• Run the following commands:

cd server
npm install
npm start

• The server will be running on localhost:5000.
• Open another terminal in the project directory.
• Run the following commands:

cd frontend
npm install
npm start

• The project will be running on localhost:3000.

NOTE : For linux users, in server/server.js file , in line 14 change the command spawned to python3 or python instead of py.

Project Architecture

Frontend

• The frontend is built using React.
• The frontend is divided into 2 components:
  • Home
  • Predict
• The Home component is the landing page of the website.
• The Predict component is used to predict the disease of a patient based on the symptoms he/she is facing.
• Symptoms are selected from the list of symptoms.
• The selected symptoms are then sent to the backend.
• The predicted disease is then displayed on the screen.

Backend

• The backend is built using Node.js and Express.js.
• The backend contains server.js file which is the entry point of the server.
• It runs the python script and returns the predicted disease to the frontend.
• The python script is run using the child_process module of Node.js.

Contributors