Your browser doesn't support javascript.
loading
Development of a prediction model for hypotension after induction of anesthesia using machine learning.
Kang, Ah Reum; Lee, Jihyun; Jung, Woohyun; Lee, Misoon; Park, Sun Young; Woo, Jiyoung; Kim, Sang Hyun.
Afiliación
  • Kang AR; SCH Media Labs, Soonchunhyang University, Asan, Chungnam, South Korea.
  • Lee J; SCH Media Labs, Soonchunhyang University, Asan, Chungnam, South Korea.
  • Jung W; Department of Anesthesiology and Pain Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Gyeonggi, South Korea.
  • Lee M; Department of Anesthesiology and Pain Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Gyeonggi, South Korea.
  • Park SY; Department of Anesthesiology and Pain Medicine, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul, South Korea.
  • Woo J; SCH Media Labs, Soonchunhyang University, Asan, Chungnam, South Korea.
  • Kim SH; Department of Anesthesiology and Pain Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Gyeonggi, South Korea.
PLoS One ; 15(4): e0231172, 2020.
Article en En | MEDLINE | ID: mdl-32298292
Asunto(s)
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Hipotensión / Anestesia General / Anestésicos / Modelos Cardiovasculares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Hipotensión / Anestesia General / Anestésicos / Modelos Cardiovasculares Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur Pais de publicación: Estados Unidos