Your browser doesn't support javascript.
loading
A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wards.
Lee, Yeon Joo; Cho, Kyung-Jae; Kwon, Oyeon; Park, Hyunho; Lee, Yeha; Kwon, Joon-Myoung; Park, Jinsik; Kim, Jung Soo; Lee, Man-Jong; Kim, Ah Jin; Ko, Ryoung-Eun; Jeon, Kyeongman; Jo, You Hwan.
Afiliação
  • Lee YJ; Division of Pulmonary and Critical Care Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea.
  • Cho KJ; VUNO, Seoul, Republic of Korea.
  • Kwon O; VUNO, Seoul, Republic of Korea.
  • Park H; VUNO, Seoul, Republic of Korea.
  • Lee Y; VUNO, Seoul, Republic of Korea.
  • Kwon JM; Department of Critical Care and Emergency Medicine, Mediplex Sejong Hospital, Incheon, Republic of Korea.
  • Park J; Division of Cardiology, Cardiovascular Center, Mediplex Sejong Hospital, Incheon, Republic of Korea.
  • Kim JS; Division of Critical Care Medicine, Department of Hospital Medicine, Inha College of Medicine, Incheon, Republic of Korea.
  • Lee MJ; Division of Critical Care Medicine, Department of Hospital Medicine, Inha College of Medicine, Incheon, Republic of Korea.
  • Kim AJ; Division of Critical Care Medicine, Department of Hospital Medicine, Inha College of Medicine, Incheon, Republic of Korea.
  • Ko RE; Department of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jeon K; Department of Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Jo YH; Department of Emergency Medicine, Seoul National University Bundang Hospital, Gyeonggi-do, Republic of Korea; Department of Emergency Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea. Electronic address: emdrjyh@gmail.com.
Resuscitation ; 163: 78-85, 2021 Apr 22.
Article em En | MEDLINE | ID: mdl-33895236

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Resuscitation Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Resuscitation Ano de publicação: 2021 Tipo de documento: Article