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An Artificial Intelligence Model for Predicting Trauma Mortality Among Emergency Department Patients in South Korea: Retrospective Cohort Study.
Lee, Seungseok; Kang, Wu Seong; Kim, Do Wan; Seo, Sang Hyun; Kim, Joongsuck; Jeong, Soon Tak; Yon, Dong Keon; Lee, Jinseok.
Affiliation
  • Lee S; Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea.
  • Kang WS; Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea.
  • Kim DW; Department of Thoracic and Cardiovascular Surgery, Chonnam National University Hospital, Chonnam National University Medical School, Gwangju, Republic of Korea.
  • Seo SH; Department of Radiology, Wonkwang University Hospital, Iksan, Republic of Korea.
  • Kim J; Department of Trauma Surgery, Jeju Regional Trauma Center, Cheju Halla General Hospital, Jeju, Republic of Korea.
  • Jeong ST; Department of Physical Medicine and Rehabilitation, Ansanhyo Hospital, Ansan, Republic of Korea.
  • Yon DK; Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Republic of Korea.
  • Lee J; Center for Digital Health, Medical Research Institute, Kyung Hee University Medical Center, Seoul, Republic of Korea.
J Med Internet Res ; 25: e49283, 2023 08 29.
Article de En | MEDLINE | ID: mdl-37642984
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Fractures osseuses Type d'étude: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: J Med Internet Res Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays de publication: Canada
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Intelligence artificielle / Fractures osseuses Type d'étude: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: J Med Internet Res Sujet du journal: INFORMATICA MEDICA Année: 2023 Type de document: Article Pays de publication: Canada