Development and validation of a machine learning model for on-site prediction of coronary heart disease in high-risk adults using clinical data.
<h4>Background</h4>Risk of coronary heart disease (CHD) in a specific period of years can be assessed using scores calculated by models, such as pooled cohort equations (PCEs) and Framingham Risk Score. However, there are few studies on on-site estimation of CHD risk quantitatively with score calcul...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Public Library of Science (PLoS)
2025-01-01
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| Seri Bilgileri: | PLoS ONE |
| Online Erişim: | https://doi.org/10.1371/journal.pone.0334881 |
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