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Digital Cardiovascular Epidemiology-Ushering in a New Era Through Computational Phenotyping of Cardiovascular Disease
The study of the epidemiological mechanisms underlying cardiovascular disease requires the ability to accurately capture risk factors and the development of clinical disease and outcomes. These processes have often been achieved through large surveys, longitudinal cohort studies, and clinical data sources compiled from structured elements of the medical record. 2 he last category is most commonly represented by claims-based data sets, 3 wherein clinical entities are summarized as standardizeddoi:10.1001/jamanetworkopen.2021.35561 pmid:34807263 fatcat:7ttfudgw6fhn5hawrxtqnq6sxq