Can machine-learning improve cardiovascular risk prediction using routine clinical data?

Abstract

Machine-learning significantly improves accuracy of cardiovascular risk prediction, increasing the number of patients identified who could benefit from preventive treatment, while avoiding unnecessary treatment of others.