Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study

AIMS: Our aim was to evaluate the performance of machine learning (ML), integrating clinical parameters with coronary artery calcium (CAC), and automated epicardial adipose tissue (EAT) quantification, for the prediction of long-term risk of myocardial infarction (MI) and cardiac death in asymptomat...

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Detalhes bibliográficos
Publicado no:Cardiovasc Res
Main Authors: Commandeur, Frederic, Slomka, Piotr J, Goeller, Markus, Chen, Xi, Cadet, Sebastien, Razipour, Aryabod, McElhinney, Priscilla, Gransar, Heidi, Cantu, Stephanie, Miller, Robert J H, Rozanski, Alan, Achenbach, Stephan, Tamarappoo, Balaji K, Berman, Daniel S, Dey, Damini
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2019
Assuntos:
Original Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7750990/
https://ncbi.nlm.nih.gov/pubmed/31853543
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/cvr/cvz321
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