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medical-diagnostics

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This project uses data mining and ML to enhance liver disease detection. Analyzing clinical markers like bilirubin and enzymes from the ILPD dataset , I compared six models. Random Forest proved most accurate at 72.57% , offering a non-invasive tool for early diagnosis and better patient care.

  • Updated Feb 22, 2026
  • Python

CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. πŸš€

  • Updated May 21, 2026
  • Python

CancerGuardian is a machine learning-powered web app that helps predict breast cancer diagnoses based on cytology measurements. 🩺✨ Built with Streamlit, Scikit-Learn, and Plotly, this tool visualizes tumor characteristics and provides predictions using a trained model. πŸš€

  • Updated Mar 24, 2025
  • Python

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