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Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study.
Shim, Jae-Geum; Ryu, Kyoung-Ho; Lee, Sung Hyun; Cho, Eun-Ah; Lee, Sungho; Ahn, Jin Hee.
  • Shim JG; Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Ryu KH; Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Lee SH; Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Cho EA; Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Lee S; Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Ahn JH; Department of Anesthesiology and Pain Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
PLoS One ; 16(9): e0257069, 2021.
Article en En | MEDLINE | ID: mdl-34473775
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tráquea / Aprendizaje Automático Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Child, preschool / Humans / Infant Idioma: En Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tráquea / Aprendizaje Automático Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Child / Child, preschool / Humans / Infant Idioma: En Año: 2021 Tipo del documento: Article