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The Sydney Triage to Admission Risk Tool (START2) using machine learning techniques to support disposition decision-making.
Rendell, Kathryn; Koprinska, Irena; Kyme, Andre; Ebker-White, Anja A; Dinh, Michael M.
Afiliação
  • Rendell K; School of Aerospace, Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, New South Wales, Australia.
  • Koprinska I; School of Information Technologies, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, New South Wales, Australia.
  • Kyme A; School of Aerospace, Mechanical and Mechatronic Engineering, Faculty of Engineering and Information Technologies, The University of Sydney, Sydney, New South Wales, Australia.
  • Ebker-White AA; Emergency Department, Royal Prince Alfred Hospital, Sydney, New South Wales, Australia.
  • Dinh MM; School of Nursing, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.
Emerg Med Australas ; 31(3): 429-435, 2019 06.
Article em En | MEDLINE | ID: mdl-30469164
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Admissão do Paciente / Triagem / Aprendizado de Máquina Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Admissão do Paciente / Triagem / Aprendizado de Máquina Idioma: En Ano de publicação: 2019 Tipo de documento: Article