Automating and improving cardiovascular disease prediction using Machine learning and EMR data features from a regional healthcare system.

Background: The ACC/AHA Pooled Cohort Equations (PCE) Risk Calculator is widely used in the US for primary prevention of atherosclerotic cardiovascular disease (ASCVD), but may under- or over-estimate risk in some populations. We therefore designed an automated, population-specific ASCVD risk calculator using machine-learning (ML) methods and electronic medical record (EMR) data, and compared its predictive power with that of the PCE calculator.

Methods And Findings: We collected data from 101,110 unique EMRs of living patients from January 1, 2009 to April 30, 2020.