Published on in Vol 22, No 11 (2020): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24225, first published .
An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

An Easy-to-Use Machine Learning Model to Predict the Prognosis of Patients With COVID-19: Retrospective Cohort Study

Hyung-Jun Kim 1*, MD;  Deokjae Han 1*, MD;  Jeong-Han Kim 2, MD;  Daehyun Kim 3, DDS;  Beomman Ha 4, MD, PhD;  Woong Seog 4, MD;  Yeon-Kyeng Lee 5, PhD;  Dosang Lim 5, MSc;  Sung Ok Hong 5, PhD;  Mi-Jin Park 5, MSc;  JoonNyung Heo 4, MD

1 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam , KR

2 Division of Infectious Diseases, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam , KR

3 Department of Periodontology, Armed Forces Capital Hospital , Seongnam , KR

4 The Armed Forces Medical Command , Seongnam , KR

5 Division of Chronic Disease Control, Korea Center for Disease Control and Prevention , Cheongju , KR

*these authors contributed equally

Corresponding Author:

  • JoonNyung Heo, MD
  • The Armed Forces Medical Command
  • 81 Saemaeul-ro 177beon-gil, Bundang-gu
  • Seongnam
  • KR
  • Phone: 82 31 725 5490
  • Email: jnheo@jnheo.com