A deep learning model for the classification of atrial fibrillation in critically ill patients

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 difficult to...

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Detalles Bibliográficos
Autores principales: Chen, Brian, Maslove, David M., Curran, Jeffrey D., Hamilton, Alexander, Laird, Philip R., Mousavi, Parvin, Sibley, Stephanie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Methodologies
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837355/
https://www.ncbi.nlm.nih.gov/pubmed/36635373
http://dx.doi.org/10.1186/s40635-022-00490-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9837355/
https://www.ncbi.nlm.nih.gov/pubmed/36635373
http://dx.doi.org/10.1186/s40635-022-00490-3

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