Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records.
<h4>Background</h4>Cardiac dysrhythmias (CD) affect millions of Americans in the United States (US), and are associated with considerable morbidity and mortality. New strategies to combat this growing problem are urgently needed.<h4>Objectives</h4>Predicting CD using electron...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
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Public Library of Science (PLoS)
2021
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| Accès en ligne: | https://doaj.org/article/1ae99a55ea1a44a6b1e14a9d306cf3c0 |
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