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