Published on in Vol 23 , No 2 (2021) :February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23458, first published .
Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Using Automated Machine Learning to Predict the Mortality of Patients With COVID-19: Prediction Model Development Study

Kenji Ikemura 1, 2 , MD ;   Eran Bellin 3 , MD ;   Yukako Yagi 4 , PhD ;   Henny Billett 5 , MD ;   Mahmoud Saada 2 , BS ;   Katelyn Simone 2 , MM ;   Lindsay Stahl 3 , MS ;   James Szymanski 1 , MD ;   D Y Goldstein 1 , MD ;   Morayma Reyes Gil 1 , MD, PhD

1 Department of Pathology , Albert Einstein College of Medicine , Montefiore Medical Center , The Bronx , NY , US

2 Tsubomi Technology , The Bronx , NY , US

3 Department of Epidemiology and Population Health and Medicine , Albert Einstein College of Medicine , Montefiore Medical Center , The Bronx , NY , US

4 Department of Pathology , Memorial Sloan Kettering Cancer Center , New York , NY , US

5 Department of Oncology and Medicine , Albert Einstein College of Medicine , Montefiore Medical Center , The Bronx , NY , US

Corresponding Author:

  • Kenji Ikemura, MD
  • Department of Pathology
  • Albert Einstein College of Medicine
  • Montefiore Medical Center
  • 111 E 210th St
  • The Bronx, NY
  • US
  • Phone: 1 9493703777
  • Email: kikemura@montefiore.org