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...

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Detalles Bibliográficos
Autores principales: Guo, Aixia, Smith, Sakima, Khan, Yosef M., Langabeer II, James R., Foraker, Randi E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
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

Internet

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

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