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Coronary Risk Estimation Based on Clinical Data in Electronic Health Records

Ben O Petrazzini1, Kumardeep Chaudhary2, Carla Márquez-Luna2

  • 1The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA. Electronic address: https://twitter.com/OmegaPetrazzini.

Journal of the American College of Cardiology
|March 25, 2022
PubMed
Abstract

Keywords:
biobankcoronary artery diseaseelectronic health recordmachine learningpolygenic risk scorepooled cohort equationsprevention

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