Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30157, first published .
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

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

Saranya Sankaranarayanan   1 * , MS ;   Jagadheshwar Balan   1 * , MS ;   Jesse R Walsh   1 , PhD ;   Yanhong Wu   1 , PhD ;   Sara Minnich   1 , BA ;   Amy Piazza   1 , MLS ;   Collin Osborne   1 , MS ;   Gavin R Oliver   1 , MS ;   Jessica Lesko   1 , MA ;   Kathy L Bates   1 , MBA ;   Kia Khezeli   1 , PhD ;   Darci R Block   1 , PhD ;   Margaret DiGuardo   1 , MD ;   Justin Kreuter   1 , MD ;   John C O’Horo   1 , MPH, MD ;   John Kalantari   1 , PhD ;   Eric W Klee   1 , PhD ;   Mohamed E Salama   1 , MD ;   Benjamin Kipp   1 , PhD ;   William G Morice   1 , MD, PhD ;   Garrett Jenkinson   1 , PhD

1 Mayo Clinic, Rochester, MN, United States

*these authors contributed equally

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