MSR19 An Update on Real-Time Application of Machine Learning Programs to Improve Cardiovascular Risk Prediction in European Population

Abstract

According to European Society of Cardiology, cardiovascular disease (CVD) accounts for 3.9 million deaths/year in Europe. In recent years, artificial intelligence (AI)-driven machine learning (ML) has shown promise in CVD risk prediction. This study aimed to summarise the composite predictive ability of AI/ML algorithms to improve CVD risk prediction in focused populations.