Applies Random Forest classification and linear regression to a SMOTE-augmented heart disease dataset, reports high accuracy and R2 scores, and adds post-hoc explainable AI.
Diabetes, diabetes severity, and coronary heart disease risk equivalence: Reasons for geographic and racial differences in stroke (regards),
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Explainable Machine Learning Framework for Cardiovascular Disease Diagnosis and Prognosis
Applies Random Forest classification and linear regression to a SMOTE-augmented heart disease dataset, reports high accuracy and R2 scores, and adds post-hoc explainable AI.