Integrating large scale genetic and clinical information to predict cases of heart failure.

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Bibliographic Details
Title: Integrating large scale genetic and clinical information to predict cases of heart failure.
Authors: Wu KH; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA., Wolford BN; HUNT Center for Molecular and Clinical Epidemiology, Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway., Du J; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA., Yu X; Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA., Douville NJ; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA.; Institute of Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA., Mathis MR; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA.; Institute of Healthcare Policy & Innovation, University of Michigan, Ann Arbor, MI, USA., Graham SE; Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA., Surakka I; Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA., Hornsby WE; Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA., Bian J; Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, USA., Zhao L; Beaumont Health, Royal Oak, MI, USA., Willer CJ; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.; Department of Internal Medicine, Michigan Medicine, Ann Arbor, MI, USA.; Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA., Shi X; Department of Anesthesiology, Michigan Medicine, Ann Arbor, MI, USA. shixu@umich.edu.
Source: Communications medicine [Commun Med (Lond)] 2025 Nov 21; Vol. 5 (1), pp. 493. Date of Electronic Publication: 2025 Nov 21.
Publication Type: Journal Article
Journal Info: Publisher: Nature Portfolio Country of Publication: England NLM ID: 9918250414506676 Publication Model: Electronic Cited Medium: Internet ISSN: 2730-664X (Electronic) Linking ISSN: 2730664X NLM ISO Abbreviation: Commun Med (Lond) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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