This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2391) Machine Learning (1384) Clinical Information and Decision Making (1328) Decision Support for Health Professionals (1137) Outbreak and Pandemic Preparedness and Management (1675) Artificial Intelligence (1197) Infectious Diseases (non-STD/STI) (1485) Theme Issue: Medical Informatics and COVID-19 (103)

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

Authors of this article:

Kenji Ikemura1, 2 Author Orcid Image ;   Eran Bellin3 Author Orcid Image ;   Yukako Yagi4 Author Orcid Image ;   Henny Billett5 Author Orcid Image ;   Mahmoud Saada2 Author Orcid Image ;   Katelyn Simone2 Author Orcid Image ;   Lindsay Stahl3 Author Orcid Image ;   James Szymanski1 Author Orcid Image ;   D Y Goldstein1 Author Orcid Image ;   Morayma Reyes Gil1 Author Orcid Image
Article Authors Cited by (51) Tweetations (49) Metrics

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