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Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.
Cho, Kyung-Jae; Kim, Jung Soo; Lee, Dong Hyun; Lee, Sang-Min; Song, Myung Jin; Lim, Sung Yoon; Cho, Young-Jae; Jo, You Hwan; Shin, Yunseob; Lee, Yeon Joo.
Afiliação
  • Cho KJ; VUNO, Seoul, Republic of Korea.
  • Kim JS; Division of Critical Care Medicine, Department of Hospital Medicine, Inha College of Medicine, Incheon, Republic of Korea.
  • Lee DH; Department of Intensive Care Medicine, Dong-A University Hospital, College of Medicine, Busan, Republic of Korea.
  • Lee SM; Department of Critical Care Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
  • Song MJ; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Lim SY; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Cho YJ; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Jo YH; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Shin Y; Department of Emergency Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
  • Lee YJ; VUNO, Seoul, Republic of Korea.
Crit Care ; 27(1): 346, 2023 09 05.
Article em En | MEDLINE | ID: mdl-37670324
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Parada Cardíaca Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Parada Cardíaca Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article