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Reducing False Alarm Rates in Neonatal Intensive Care: A New Machine Learning Approach.
Ostojic, D; Guglielmini, S; Moser, V; Fauchère, J C; Bucher, H U; Bassler, D; Wolf, M; Kleiser, S; Scholkmann, F; Karen, T.
Afiliação
  • Ostojic D; Biomedical Optics Research Laboratory (BORL), University of Zurich, Zurich, Switzerland. Daniel.Ostojic@usz.ch.
  • Guglielmini S; Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. Daniel.Ostojic@usz.ch.
  • Moser V; Biomedical Optics Research Laboratory (BORL), University of Zurich, Zurich, Switzerland.
  • Fauchère JC; Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Bucher HU; CSEM, Neuchâtel, Switzerland.
  • Bassler D; Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Wolf M; Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Kleiser S; Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
  • Scholkmann F; Biomedical Optics Research Laboratory (BORL), University of Zurich, Zurich, Switzerland.
  • Karen T; Department of Neonatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Adv Exp Med Biol ; 1232: 285-290, 2020.
Article em En | MEDLINE | ID: mdl-31893422
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Oximetria / Unidades de Terapia Intensiva Neonatal / Terapia Intensiva Neonatal / Aprendizado de Máquina / Monitorização Fisiológica Tipo de estudo: Prognostic_studies Limite: Humans / Newborn Idioma: En Revista: Adv Exp Med Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Oximetria / Unidades de Terapia Intensiva Neonatal / Terapia Intensiva Neonatal / Aprendizado de Máquina / Monitorização Fisiológica Tipo de estudo: Prognostic_studies Limite: Humans / Newborn Idioma: En Revista: Adv Exp Med Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suíça