Incorporating longitudinal history of risk factors into atherosclerotic cardiovascular disease risk prediction using deep learning
Abstract It is increasingly clear that longitudinal risk factor levels and trajectories are related to risk for atherosclerotic cardiovascular disease (ASCVD) above and beyond single measures. Currently used in clinical care, the Pooled Cohort Equations (PCE) are based on regression methods that pre...
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| Autori principali: | , , , , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2024-01-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-024-51685-5 |
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