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Disease Prediction

Calculates your risk of contracting a disease like cancer based on your various attributes like age, smoking habits, occupational status, diet etc.

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Documentation

The Machine Learning Models for various diseases are trained on datasets taken from kaggle.com and can be downloaded from links below -

  1. Cancer - Cancer Patients Data
  2. Stroke - Stroke Prediction Dataset
  3. Breast Cancer - Breast Cancer Wisconsin (Diagnostic) Data Set
  4. Heart Disease - Heart Disease UCI
  5. Fetal Health - Fetal Health Classification
  6. Lung Cancer - Lung Cancer Dataset by STACEYINROBERT
  7. Liver Disease - Indian Liver Patient Records
  8. Tumor Classification - tumors
  9. Heart Attack Risk Heart Attack Analysis & Prediction Dataset

Languages and Tools used:

CSS3 HTML5 JavaScript Python Bootstrap Flask Jupyter Notebook CodePen Visual Studio Code Git GitHub SQLite NumPy Pandas scikit-learn

Local Set-Up

  • It is recommended to set up the project inside a virtual environment to keep the dependencies separated

  • Activate your virtual environment.

  • Install dependencies by running pip install -r requirements.txt

  • Start up the server by running python ./run.py

  • Visit localhost opened to explore and test

Demo

Home Page Demo

The Home Page contains the main menu, introduction, disclaimer, prediction, teams and the footer section.

Home.Page.mp4

Predicting

From the prediction section choose disease to check risk for, fill form with your attributes and get the prediction results.

Prediction.mp4

Other Features

Other features like blog pages for referring and register and login functions are available.

Other.Features.mp4

🔗 Connect with the Team

Jhanvee Khola

linkedin twitter github

Khushi Punia

linkedin github

Charu Singh

linkedin github

Princy Singhal

github

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