Cardiovascular Risk Prediction

End-to-end ML pipeline predicting cardiovascular disease risk from patient health data. Engineered features (BMI, MAP, pulse pressure, hypertension flag, heuristic risk score) feed baseline and tree-based models, evaluated on accuracy, precision, recall, F1, and ROC-AUC.