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

BACKGROUND AND AIMS: 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. METHODS: We studied 1069 subjects (age 5...

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Publicat a:Atherosclerosis
Autors principals: Tamarappoo, Balaji K, Lin, Andrew, Commandeur, Frederic, McElhinney, Priscilla A, Cadet, Sebastien, Goeller, Markus, Razipour, Aryabod, Chen, Xi, Gransar, Heidi, Cantu, Stephanie, Miller, Robert JH, Achenbach, Stephan, Friedman, John, Hayes, Sean, Thomson, Louise, Wong, Nathan D, Rozanski, Alan, Slomka, Piotr J, Berman, Daniel S, Dey, Damini
Format: Artigo
Idioma:Inglês
Publicat: 2020
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Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7856265/
https://ncbi.nlm.nih.gov/pubmed/33239189
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.atherosclerosis.2020.11.008
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