🧠 Multiple Disease Prediction System (MDPS) or Health-Prediction-app The Multiple Disease Prediction System (MDPS) is a machine learning-based web application built with Streamlit. It allows users to predict the likelihood of three major diseases—Diabetes, Heart Disease, and Parkinson’s Disease—based on medical input parameters. This tool is designed to assist medical professionals and individuals in early detection and proactive healthcare.
🚀 How to Run the App Locally To launch the Streamlit application on your local machine, open your terminal or command prompt and run:
bash Copy Edit streamlit run "D:\MDPS\app.py" Make sure all necessary libraries (such as streamlit, scikit-learn, pandas, etc.) are installed in your environment.
🧪 Google Colab Notebooks The models for each disease were trained and evaluated in Google Colab. You can explore or reproduce the training process using the following notebooks:
🩸 Diabetes Prediction Model - https://colab.research.google.com/drive/13IT5ypUMuwaxWXXUMIFiATihtmOcU7Iy?usp=sharing ❤️ Heart Disease Prediction Model - https://colab.research.google.com/drive/1teEEtnplL-ib1zIClEe3loTpYqcLZw0q?usp=sharing 🧠 Parkinson’s Disease Prediction Model - https://colab.research.google.com/drive/19jyvw5GPQ19tn_XQELHRX8WenlwTUw0t?usp=sharing Each notebook covers:
Dataset loading and preprocessing
Model training and evaluation
Accuracy scores and confusion matrix
Pickle model saving for deployment
📂 Project Structure plaintext Copy Edit MDPS/ ├── app.py # Main Streamlit app ├── diabetes_model.pkl # Trained Diabetes prediction model ├── heart_model.pkl # Trained Heart Disease prediction model ├── parkinsons_model.pkl # Trained Parkinson’s prediction model ├── README.md # Project documentation └── requirements.txt # Python dependencies 📦 Requirements Install all required Python libraries with:
bash Copy Edit pip install -r requirements.txt 🏁 Features Interactive UI for each disease model
Real-time predictions based on user input
Easy integration with trained .pkl models
Deployed using Streamlit
📌 Note This system is for educational and experimental purposes only. It should not be used as a substitute for professional medical advice, diagnosis, or treatment.
Check out the link below to use the web app: https://health-prediction-app-zlyfmomh6r7lc2fxqhqfez.streamlit.app/