Predicting the future risk and outcomes of severe heart failure and coronary artery disease with machine learning in the UK Biobank Cohort.
<h4>Background</h4>In order to seriously impact the global burden of heart failure (HF) and coronary artery disease (CAD), identifying at-risk individuals as early as possible is vital. Risk calculator tools in wide clinical use today are informed by traditional statistical methods that have histori...
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| Autors principals: | , , , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science (PLoS)
2025-01-01
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| Col·lecció: | PLoS ONE |
| Accés en línia: | https://doi.org/10.1371/journal.pone.0329461 |
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