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

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Bibliographic Details
Main Authors: Brian, Chen, David M., Maslove, Jeffrey D., Curran
Format: Book
Language:English
Published: Springer 2023
Subjects:
Atrial fibrillation
New-onset atrial fibrillation
Online Access:https://link.springer.com/article/10.1186/s40635-022-00490-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7259
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spelling oai:localhost:PNK-72592023-03-29T03:19:20Z A deep learning model for the classification of atrial fibrillation in critically ill patients Brian, Chen David M., Maslove Jeffrey D., Curran Atrial fibrillation New-onset atrial fibrillation CC BY 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 understand the true burden of disease. Automated algorithms to detect AF in the ICU have been advocated as a means to better quantify its true burden. 2023-03-29T03:19:20Z 2023-03-29T03:19:20Z 2023 Book https://link.springer.com/article/10.1186/s40635-022-00490-3 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7259 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic Atrial fibrillation
New-onset atrial fibrillation
spellingShingle Atrial fibrillation
New-onset atrial fibrillation
Brian, Chen
David M., Maslove
Jeffrey D., Curran
A deep learning model for the classification of atrial fibrillation in critically ill patients
description CC BY
format Book
author Brian, Chen
David M., Maslove
Jeffrey D., Curran
author_facet Brian, Chen
David M., Maslove
Jeffrey D., Curran
author_sort Brian, Chen
title A deep learning model for the classification of atrial fibrillation in critically ill patients
title_short A deep learning model for the classification of atrial fibrillation in critically ill patients
title_full A deep learning model for the classification of atrial fibrillation in critically ill patients
title_fullStr A deep learning model for the classification of atrial fibrillation in critically ill patients
title_full_unstemmed A deep learning model for the classification of atrial fibrillation in critically ill patients
title_sort deep learning model for the classification of atrial fibrillation in critically ill patients
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1186/s40635-022-00490-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7259
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score 8.881002

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