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

Journal: Journal of medical Internet research

PMID: 33764883

Abstract

BACKGROUND: The number of deaths from COVID-19 continues to surge worldwide. In particular, if a patient's condition is sufficiently severe to require invasive ventilation, it is more likely to lead to death than to recovery.

Authors

Heewon Chung
Hoon Ko
Wu Seong Kang

Department of Trauma Surgery, Wonkwang University Hospital, Iksan-si, Republic of Korea.
Kyung Won Kim

Department of Pediatrics, Severance Children's Hospital, Institute of Allergy, Institute for Immunology and Immunological Diseases, Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. kwkim@yuhs.ac.
Hooseok Lee
Chul Park

Bio-safety Institute, College of Veterinary Medicine, Chonbuk National University, Jeonju, Korea.
Hyun-Ok Song

Department of Infection Biology, Wonkwang University School of Medicine, Iksan, Republic of Korea.
Tae-Young Choi

Department of Pathology, Wonkwang University School of Medicine, Iksan, Republic of Korea.
Jae Ho Seo

Department of Biochemistry, Wonkwang University School of Medicine, Iksan, Republic of Korea.
Jinseok Lee

Keywords

Adolescent Adult Aged Aged, 80 and over Artificial Intelligence Child Child, Preschool COVID-19 Female Humans Infant Infant, Newborn Male Middle Aged Models, Statistical Mortality Republic of Korea Research Design Retrospective Studies Risk Factors SARS-CoV-2 Young Adult

External Resources

View on PubMed Access via DOI PubMed (33764883)

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

Abstract

Authors

Keywords

External Resources

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