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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| Published in: | Circulation (New York, N.Y.) Vol. 143; no. 24; p. 2370 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
15.06.2021
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| Subjects: | |
| ISSN: | 1524-4539, 1524-4539 |
| Online Access: | Get more information |
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