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

JMIR Theme Issue: COVID-19 Special Issue (2452) Artificial Intelligence (1371) Machine Learning (1465) Outbreak and Pandemic Preparedness and Management (1727) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Clinical Information and Decision Making (1407) Infectious Diseases (non-STD/STI) (1575) Decision Support for Health Professionals (1185) Telehealth and Telemonitoring (1671)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27060, first published .
Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation

Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation

Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation

Authors of this article:

Heewon Chung1 Author Orcid Image ;   Hoon Ko1 Author Orcid Image ;   Wu Seong Kang2 Author Orcid Image ;   Kyung Won Kim3 Author Orcid Image ;   Hooseok Lee1 Author Orcid Image ;   Chul Park4 Author Orcid Image ;   Hyun-Ok Song5 Author Orcid Image ;   Tae-Young Choi6 Author Orcid Image ;   Jae Ho Seo7 Author Orcid Image ;   Jinseok Lee1 Author Orcid Image
Article Authors Cited by (26) Tweetations (4) Metrics

Heewon Chung   1 * , MSc ;   Hoon Ko   1 * , MSc ;   Wu Seong Kang   2 * , MD, PhD ;   Kyung Won Kim   3 , MD, PhD ;   Hooseok Lee   1 , MSc ;   Chul Park   4 , MD ;   Hyun-Ok Song   5 , PhD ;   Tae-Young Choi   6 , PhD ;   Jae Ho Seo   7 , PhD ;   Jinseok Lee   1 , PhD

1 Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea

2 Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea

3 Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

4 Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Republic of Korea

5 Department of Infection Biology, Wonkwang University School of Medicine, Iksan, Republic of Korea

6 Department of Pathology, Wonkwang University School of Medicine, Iksan, Republic of Korea

7 Department of Biochemistry, Wonkwang University School of Medicine, Iksan, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Jinseok Lee, PhD
  • Department of Artificial Intelligence
  • The Catholic University of Korea
  • 43 Jibong-ro
  • Bucheon, 14662
  • Republic of Korea
  • Phone: 82 2-2164-5523
  • Email: gonasago@catholic.ac.kr