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

Journal: Journal of medical Internet research
Published Date: Nov 9, 2020

Abstract

BACKGROUND: Prioritizing patients in need of intensive care is necessary to reduce the mortality rate during the COVID-19 pandemic. Although several scoring methods have been introduced, many require laboratory or radiographic findings that are not always easily available.

Authors

  • Hyung-Jun Kim
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam, Republic of Korea.
  • Deokjae Han
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam, Republic of Korea.
  • Jeong-Han Kim
    Division of Infectious Diseases, Department of Internal Medicine, Armed Forces Capital Hospital, Seongnam, Republic of Korea.
  • Daehyun Kim
    Department of Periodontology, Armed Forces Capital Hospital, Seongnam, Republic of Korea.
  • Beomman Ha
    The Armed Forces Medical Command, Seongnam, Republic of Korea.
  • Woong Seog
    The Armed Forces Medical Command, Seongnam, Republic of Korea.
  • Yeon-Kyeng Lee
    Division of Chronic Disease Control, Korea Center for Disease Control and Prevention, Cheongju, Republic of Korea.
  • Dosang Lim
    Division of Chronic Disease Control, Korea Center for Disease Control and Prevention, Cheongju, Republic of Korea.
  • Sung Ok Hong
    Division of Chronic Disease Control, Korea Center for Disease Control and Prevention, Cheongju, Republic of Korea.
  • Mi-Jin Park
    Division of Chronic Disease Control, Korea Center for Disease Control and Prevention, Cheongju, Republic of Korea.
  • JoonNyung Heo
    Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.

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