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Application of a time-series deep learning model to predict cardiac dysrhythmias in electronic health records
BACKGROUND: 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. OBJECTIVES: Predicting CD using electronic health record (EHR) data would all...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8437288/ https://www.ncbi.nlm.nih.gov/pubmed/34516567 http://dx.doi.org/10.1371/journal.pone.0239007 |