Artificial intelligence approaches for phenotyping heart failure in U.S. Veterans Health Administration electronic health record

By sjmartinez • June 14, 2024

Shao Y, Zhang S, Raman VK, Patel SS, Cheng Y, Parulkar A, Lam PH, Moore H, Sheriff HM, Fonarow GC, Heidenreich PA, Wu WC, Ahmed A, Zeng-Treitler Q. Artificial intelligence approaches for phenotyping heart failure in U.S. Veterans Health Administration electronic health record. ESC Heart Fail. 2024 Jun 14. doi: 10.1002/ehf2.14787. Epub ahead of print. PMID: 38873749.

Tags: Artificial intelligence, big data, Cardiology/Epi, electronic health record, heart failure, machine learning, natural language processing, phenotyping, Publications

Healthcare System Resilience and Adaptation: A 6-Year Analysis of Heart Failure Care in the Veterans Affairs System

Brownell NK, Inkelas M, Chen L, Leng M, Doan AAQ, Shannon E, Jackson N, Hsue P, Ong M, Yano E, Fonarow GC, Ziaeian B. Healthcare[...]

Association of ramus intermedius with greater overall coronary plaque and stenosis burden

Ansari S, Pourafkari L, Kinninger A, Budoff MJ. Association of ramus intermedius with greater overall coronary plaque and stenosis burden. Int J Cardiovasc Imaging. 2026[...]

Effect of Aficamten on Cardiac Structure and Function in Patients with Symptomatic Nonobstructive Hypertrophic Cardiomyopathy

Hegde SM, Wang X, Bhatia A, Peña-Peña ML, Sherrid MV, Figueiredo EL, Arad M, Barriales-Villa R, Choudhury L, Claggett BL, Coats CJ, de Barros Correia[...]