A deep learning model for the classification of atrial fibrillation in critically ill patients
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Language: | English |
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Springer
2023
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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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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 |
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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 |
_version_ |
1761731319403905024 |
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8.891145 |