Machine learning to predict cardiac events in asymptomatic individuals

Identifying which patients are at risk of cardiac events is an important goal and enables the application of interventions to prevent future cardiovascular events. Current cardiovascular risk scores incorporate clinical features and biochemical measures to stratify patients into risk groups.1,2 However, they have a number of limitations, including differences when applied to populations in different countries,3 overestimation of risk in contemporary multi-ethnic cohorts4 and underestimation of risk in women.

Source: Atherosclerosis - December 11, 2020 Category: Cardiology Authors: Michelle C. Williams, David E. Newby Tags: Editorial Source Type: research