A Robust e-Epidemiology Tool in Phenotyping Heart Failure with Differentiation for Preserved and Reduced Ejection Fraction: the Electronic Medical Records and Genomics (eMERGE) Network.

doi:10.1007/s12265-015-9644-2

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Article

A Robust e-Epidemiology Tool in Phenotyping Heart Failure with Differentiation for Preserved and Reduced Ejection Fraction: the Electronic Medical Records and Genomics (eMERGE) Network.

Journal of cardiovascular translational research - 1 Nov 2015

Bielinski Suzette J, Pathak Jyotishman, Carrell David S, Takahashi Paul Y, Olson Janet E, Larson Nicholas B, Liu Hongfang, Sohn Sunghwan, Wells Quinn S, Denny Joshua C, Rasmussen-Torvik Laura J, Pacheco Jennifer Allen, Jackson Kathryn L, Lesnick Timothy G, Gullerud Rachel E, Decker Paul A, Pereira Naveen L, Ryu Euijung, Dart Richard A, Peissig Peggy, Linneman James G, Jarvik Gail P, Larson Eric B, Bock Jonathan A, Tromp Gerard C, de Andrade Mariza, Roger Véronique L

Abstract excerpt

Identifying populations of heart failure (HF) patients is paramount to research efforts aimed at developing strategies to effectively reduce the burden of this disease. The use of electronic medical record (EMR) data for this purpose is challenging given the syndromic nature of HF and the need to distinguish HF with preserved or reduced ejection fraction. Using a gold standard cohort of manually abstracted cases,...

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PMID: 26195183
DOI: 10.1007/s12265-015-9644-2
PMCID: PMC4651838

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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