A machine learning project that predicts the risk of chronic diseases based on patient symptoms and health data. It uses algorithms like Decision Tree, Random Forest, and Naïve Bayes to classify and analyze medical records for early diagnosis. The project includes both backend model training and a simple Tkinter-based GUI for disease prediction.
python data-science machine-learning random-forest naive-bayes healthcare classification tkinter predictive-modeling decision-tree ml-project medical-data disease-prediction healthtech chronic-disease
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Updated
Oct 26, 2025