Machine learning integration of circulating and imaging biomarkers for explainable patient-specific prediction of cardiac events: A prospective study

We sought to assess the performance of a comprehensive machine learning (ML) risk score integrating circulating biomarkers and computed tomography (CT) measures for the long-term prediction of hard cardiac events in asymptomatic subjects.

Source: Atherosclerosis - November 12, 2020 Category: Cardiology Authors: Balaji K. Tamarappoo, Andrew Lin, Frederic Commandeur, Priscilla A. McElhinney, Sebastien Cadet, Markus Goeller, Aryabod Razipour, Xi Chen, Heidi Gransar, Stephanie Cantu, Robert JH. Miller, Stephan Achenbach, John Friedman, Sean Hayes, Louise Thomson, Na Source Type: research