Development and Validation of Machine Learning-Based Race-Specific Models to Predict 10-Year Risk of Heart Failure: A Multicohort Analysis

Heart failure (HF) risk and the underlying risk factors vary by race. Traditional models for HF risk prediction treat race as a covariate in risk prediction and do not account for significant parameters such as cardiac biomarkers. Machine learning (ML) may offer advantages over traditional modeling...

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Bibliographic Details
Published in:Circulation (New York, N.Y.) Vol. 143; no. 24; p. 2370
Main Authors: Segar, Matthew W, Jaeger, Byron C, Patel, Kershaw V, Nambi, Vijay, Ndumele, Chiadi E, Correa, Adolfo, Butler, Javed, Chandra, Alvin, Ayers, Colby, Rao, Shreya, Lewis, Alana A, Raffield, Laura M, Rodriguez, Carlos J, Michos, Erin D, Ballantyne, Christie M, Hall, Michael E, Mentz, Robert J, de Lemos, James A, Pandey, Ambarish
Format: Journal Article
Language:English
Published: United States 15.06.2021
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ISSN:1524-4539, 1524-4539
Online Access:Get more information
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