COVID-19 Mortality Prediction From Deep Learning in a Large Multistate Electronic Health Record and Laboratory Information System Data Set: Algorithm Development and Validation

BACKGROUND: COVID-19 is caused by the SARS-CoV-2 virus and has strikingly heterogeneous clinical manifestations, with most individuals contracting mild disease but a substantial minority experiencing fulminant cardiopulmonary symptoms or death. The clinical covariates and the laboratory tests perfor...

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Detalles Bibliográficos
Autores principales: Sankaranarayanan, Saranya, Balan, Jagadheshwar, Walsh, Jesse R, Wu, Yanhong, Minnich, Sara, Piazza, Amy, Osborne, Collin, Oliver, Gavin R, Lesko, Jessica, Bates, Kathy L, Khezeli, Kia, Block, Darci R, DiGuardo, Margaret, Kreuter, Justin, O’Horo, John C, Kalantari, John, Klee, Eric W, Salama, Mohamed E, Kipp, Benjamin, Morice, William G, Jenkinson, Garrett
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480399/
https://www.ncbi.nlm.nih.gov/pubmed/34449401
http://dx.doi.org/10.2196/30157

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480399/
https://www.ncbi.nlm.nih.gov/pubmed/34449401
http://dx.doi.org/10.2196/30157

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