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Digital Cardiovascular Epidemiology-Ushering in a New Era Through Computational Phenotyping of Cardiovascular Disease
2021
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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 standardized
doi:10.1001/jamanetworkopen.2021.35561
pmid:34807263
fatcat:7ttfudgw6fhn5hawrxtqnq6sxq