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

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 , KR

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

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

4 Department of Internal Medicine, Wonkwang University School of Medicine , Iksan , KR

5 Department of Infection Biology, Wonkwang University School of Medicine , Iksan , KR

6 Department of Pathology, Wonkwang University School of Medicine , Iksan , KR

7 Department of Biochemistry, Wonkwang University School of Medicine , Iksan , KR

*these authors contributed equally

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