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Prediction and Feature Importance Analysis for Severity of COVID-19 in South Korea Using Artificial Intelligence: Model Development and Validation.
Chung, Heewon; Ko, Hoon; Kang, Wu Seong; Kim, Kyung Won; Lee, Hooseok; Park, Chul; Song, Hyun-Ok; Choi, Tae-Young; Seo, Jae Ho; Lee, Jinseok.
Afiliação
  • Chung H; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.
  • Ko H; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.
  • Kang WS; Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea.
  • Kim KW; Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Lee H; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.
  • Park C; Department of Internal Medicine, Wonkwang University School of Medicine, Iksan, Republic of Korea.
  • Song HO; Department of Infection Biology, Wonkwang University School of Medicine, Iksan, Republic of Korea.
  • Choi TY; Department of Pathology, Wonkwang University School of Medicine, Iksan, Republic of Korea.
  • Seo JH; Department of Biochemistry, Wonkwang University School of Medicine, Iksan, Republic of Korea.
  • Lee J; Department of Artificial Intelligence, The Catholic University of Korea, Bucheon, Republic of Korea.
J Med Internet Res ; 23(4): e27060, 2021 04 19.
Article em En | MEDLINE | ID: mdl-33764883
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / COVID-19 Idioma: En Ano de publicação: 2021 Tipo de documento: Article