anujdutt9/Disease-Prediction-from-Symptoms
Disease Prediction based on Symptoms.
Implements multiple supervised learning classifiers (Naive Bayes, Decision Trees, Random Forest, Gradient Boosting) trained on symptom-disease datasets to perform multi-class disease prediction. The project provides both a standalone inference script and an interactive Jupyter notebook interface for testing predictions against Kaggle and Columbia University datasets containing 132+ symptom features mapped to disease outcomes.
334 stars. No commits in the last 6 months.
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Language
Jupyter Notebook
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Last pushed
Feb 15, 2023
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