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Abstract 12965: Race-Specific Models to Predict In-Hospital Mortality in Patients With Heart Failure Using Machine Learning: The American Heart Association Get With the Guidelines Registry

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Year: 2021
Type: conference-abstract
Source: Circulation
DOI: 10.1161/circ.144.suppl_1.12965
Authors: Ambarish Pandey, Matthew Segar, Jennifer Hall, Ann M Navar, Tiffany Powell-wiley, Alanna A Morris, David P Kao, Gregg C Fonarow, Rosalba Hernandez, Nasrien E Ibrahim, Christine Rutan, Laura Stevens
Institutions: The University of Texas Southwestern Medical Center, American Heart Association, National Institutes of Health, Emory University, University of California, Los Angeles, Ronald Reagan UCLA Medical Center, UCLA Medical Center, University of Illinois Urbana-Champaign, University of Illinois System, Massachusetts General Hospital
Language: English

Topic: Heart Failure Treatment and Management
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
SDGs: Good health and well-being, Reduced inequalities

Open Access status: closed
OpenAlex ID: W3216655771
Cites:
Cited by: 1
Related to: 10
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