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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Bibliographic Details

Published in:	Intensive Care Medicine Experimental
Main Authors:	Brian Chen, David M. Maslove, Jeffrey D. Curran, Alexander Hamilton, Philip R. Laird, Parvin Mousavi, Stephanie Sibley
Format:	Article
Language:	English
Published:	SpringerOpen 2023-01-01
Subjects:	Atrial fibrillation Deep learning Critical care
Online Access:	https://doi.org/10.1186/s40635-022-00490-3