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

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

BackgroundCOVID-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 l...

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Bibliographic Details
Main Authors: Saranya Sankaranarayanan, Jagadheshwar Balan, Jesse R Walsh, Yanhong Wu, Sara Minnich, Amy Piazza, Collin Osborne, Gavin R Oliver, Jessica Lesko, Kathy L Bates, Kia Khezeli, Darci R Block, Margaret DiGuardo, Justin Kreuter, John C O’Horo, John Kalantari, Eric W Klee, Mohamed E Salama, Benjamin Kipp, William G Morice, Garrett Jenkinson
Format: Article
Language:English
Published: JMIR Publications 2021-09-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2021/9/e30157

Internet

https://www.jmir.org/2021/9/e30157

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