Predicting atrial fibrillation in patients with acute respiratory failure using machine learning: application of the MIMIC-III and MIMIC-IV datasets
BackgroundAcute respiratory failure (ARF) and atrial fibrillation (AF) are common diseases. This study established a predictive model for the risk of atrial fibrillation in patients with ARF, aiming to provide tools for clinical application.MethodsThis study examined the data of 21,594 patients in t...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2025-10-01
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| coleção: | Frontiers in Cardiovascular Medicine |
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| Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fcvm.2025.1696609/full |
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