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A Gradient Boosting Machine Learning Model for Predicting Early Mortality in the Emergency Department Triage: Devising a Nine-Point Triage Score.
Klug, Maximiliano; Barash, Yiftach; Bechler, Sigalit; Resheff, Yehezkel S; Tron, Talia; Ironi, Avi; Soffer, Shelly; Zimlichman, Eyal; Klang, Eyal.
Afiliação
  • Klug M; Department of Diagnostic Imaging , The Chaim Sheba Medical Center, Ramat Gan, Israel.
  • Barash Y; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Bechler S; Department of Diagnostic Imaging , The Chaim Sheba Medical Center, Ramat Gan, Israel.
  • Resheff YS; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Tron T; Intuit Israel©, Hod Hasharon, Israel.
  • Ironi A; Intuit Israel©, Hod Hasharon, Israel.
  • Soffer S; Intuit Israel©, Hod Hasharon, Israel.
  • Zimlichman E; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Klang E; Emergency Room, The Chaim Sheba Medical Center, Ramat Gan, Israel.
J Gen Intern Med ; 35(1): 220-227, 2020 01.
Article em En | MEDLINE | ID: mdl-31677104

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Triagem Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Triagem Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Humans / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article