A deep learning model for the classification of atrial fibrillation in critically ill patients
Abstract Background Atrial fibrillation (AF) is the most common cardiac arrhythmia in the intensive care unit and is associated with increased morbidity and mortality. New-onset atrial fibrillation (NOAF) is often initially paroxysmal and fleeting, making it difficult to diagnose, and therefore diff...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2023-01-01
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| coleção: | Intensive Care Medicine Experimental |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1186/s40635-022-00490-3 |
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