MACHINE LEARNING ALGORITHMS TO PREDICT 10-YEAR ATHEROSCLEROTIC CARDIOVASCULAR RISK IN A CONTEMPORARY, COMMUNITY-BASED HISTORICAL COHORT

The ACC/AHA Pooled Cohort Equation (PCE) for Atherosclerotic cardiovascular disease (ASCVD) has shown modest accuracy. We assessed if machine learning algorithms (MLA) could improve PCE performance with traditional and selected enriched clinical features. We tested MLA in a community cohort...