University of Illinois at Springfield

PREDICTING HEART DISEASE RISK FROM CLINICAL VARIABLES: A GENDER-SPECIFIC MACHINE LEARNING ANALYSIS AMONG HIGH-CHOLESTEROL PATIENTS

Cardiovascular disease remains a major cause of mortality and economic burden in the United States. This study developed and evaluated supervised machine learning models to predict heart disease risk from routine clinical variables and tested whether male patients with high chole...