Machine Learning Disease Prediction Web App

Process For Building the Machine Learning Models:

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Overview

The "Machine Learning Disease Prediction Web App" is a transformative healthcare application designed to empower users with the ability to predict and detect various diseases using advanced machine learning models. It integrates data science and web development to create a user-friendly and informative platform.

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Key Features

• Diverse Disease Prediction Models: Predict and detect five different diseases including breast cancer, diabetes, heart disease, lung cancer, and Parkinson's disease.

• Streamlit-Powered Web Interface: Utilizes Streamlit library for creating an intuitive and efficient web interface for seamless interaction with disease prediction models.

• End-to-End Deployment: Fully operational and deployed on Streamlit Cloud, ensuring easy accessibility for users worldwide.

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Technology Learned and Applied

• Streamlit: The core technology used for web development, known for its simplicity and efficiency.

• Disease Prediction Models: Implementation and deployment of machine learning models for disease prediction tasks.

• End-to-End Deployment on Streamlit Cloud: Practical demonstration of making machine learning-driven applications accessible globally.

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Machine Learning Models Used in Project

• Logistic Regression: Binary classification algorithm used for diseases like breast cancer and diabetes prediction.

• Decision Tree Classification: Tree-like structure for diseases like heart disease to analyze multiple contributing factors.

• Random Forest Classification: Ensemble learning method beneficial for diseases like lung cancer.

• Support Vector Machine (SVM): Powerful algorithm suitable for diseases like heart disease with complex decision boundaries.

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Future Scope of the Technology

The future scope of the project includes:

• Malaria Detection Module: Integration of deep learning algorithms for analyzing cell images for malaria parasites.

• Pneumonia Detection Module: Leveraging deep learning techniques for pneumonia detection from chest X-ray images.

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Snapshots

Diabetes Prediction:

Heart Disease Prediction:

Breast Cancer Prediction:

Lung Cancer Prediction:

Parkinson Disease Prediction:

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Contributors

• Shyam Singh (shyamsingh78790@gmail.com)

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License

This project is licensed under the MIT License - see the LICENSE.md file for details.

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Acknowledgments

• Inspiration drawn from various healthcare and machine learning projects.
• Gratitude to the open-source community for their invaluable contributions.

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Contact

For inquiries, please contact the project lead at shyamsingh78790@gmail.com.