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

• Main Authors: Saranya Sankaranarayanan (Author), Jagadheshwar Balan (Author), Jesse R Walsh (Author), Yanhong Wu (Author), Sara Minnich (Author), Amy Piazza (Author), Collin Osborne (Author), Gavin R Oliver (Author), Jessica Lesko (Author), Kathy L Bates (Author), Kia Khezeli (Author), Darci R Block (Author), Margaret DiGuardo (Author), Justin Kreuter (Author), John C O'Horo (Author), John Kalantari (Author), Eric W Klee (Author), Mohamed E Salama (Author), Benjamin Kipp (Author), William G Morice (Author), Garrett Jenkinson (Author)
• Format: Book
• Published: JMIR Publications, 2021-09-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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 laboratory tests performe...