Heart Disease Predictor
Random Forest model achieving 88% accuracy in predicting cardiovascular disease risk using clinical features. Identifies ST segment slope and maximum heart rate as key predictors.
Random Forest model achieving 88% accuracy in predicting cardiovascular disease risk using clinical features. Identifies ST segment slope and maximum heart rate as key predictors.
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