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, United States

2 Tsubomi Technology, The Bronx, NY, United States

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

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

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

Corresponding Author:

  • Kenji Ikemura, MD
  • Department of Pathology
  • Albert Einstein College of Medicine
  • Montefiore Medical Center
  • 111 E 210th St
  • The Bronx, NY, 10467
  • United States
  • Phone: 1 9493703777
  • Email: kikemura@montefiore.org