PERFORMANCE COMPARISON OF LOGISTIC REGRESSION, RANDOM FOREST, AND XGBOOST WITH SMOTE AND HYPERPARAMETER TUNING IN THE CLASSIFICATION OF ACUTE MYOCARDIAL INFARCTION
Acute myocardial infarction (AMI) is one of the leading causes of death from cardiovascular disease worldwide. Delayed treatment can lead to various complications ranging from heart failure to sudden death; therefore, early detection is essential to reduce mortality from AMI. This study aims to conduct a comparative an...