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Supervised Machine Learning Applied to Automate Flash and Prolonged Capillary Refill Detection by Pulse Oximetry.
Hunter, Ryan Brandon; Jiang, Shen; Nishisaki, Akira; Nickel, Amanda J; Napolitano, Natalie; Shinozaki, Koichiro; Li, Timmy; Saeki, Kota; Becker, Lance B; Nadkarni, Vinay M; Masino, Aaron J.
Afiliação
  • Hunter RB; Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Jiang S; Nihon Kohden Innovation Center, Cambridge, MA, United States.
  • Nishisaki A; Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Nickel AJ; Department of Respiratory Therapy, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Napolitano N; Department of Respiratory Therapy, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Shinozaki K; Department of Emergency Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
  • Li T; Department of Emergency Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
  • Saeki K; Nihon Kohden Innovation Center, Cambridge, MA, United States.
  • Becker LB; Department of Emergency Medicine, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, United States.
  • Nadkarni VM; Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
  • Masino AJ; Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Front Physiol ; 11: 564589, 2020.
Article em En | MEDLINE | ID: mdl-33117190
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Physiol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Suíça