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

SARS-CoV-2 nucleocapsid induces hyperinflammation and vascular leakage through the Toll-like receptor signaling axis in macrophages

Yao Z, Alvarez PA, Chavez C, Delgado Y, Kaushal P, Buchholz DW, Austin D, Li Q, Yu Y, Zaiss AK, Arumugaswami V, Ding Q, Hsu[...]

Isochronal Versus Electrogram-Based Conduction Velocity Estimation to Predict Inducible Monomorphic Ventricular Tachycardia in Repaired Tetralogy of Fallot

O'Leary ET, Waldmann V, Bessière F, Tan RB, Mariucci E, Chang PM, Kanter RJ, Cohen MI, Khairy P, Moore JP. Isochronal Versus Electrogram-Based Conduction Velocity[...]

Ambient fine particulate matter components and liver fat and stiffness in youth: metabolic vulnerability in PNPLA3 risk carriers

Li H, Schenker RB, Marquess KM, Paudel D, Ramirez CB, Lurmann F, Ren M, Jang C, Allayee H, Liao J, Chen Z, Goran MI, Alderete[...]