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Machine learning model for predicting the optimal depth of tracheal tube insertion in pediatric patients: A retrospective cohort study

OBJECTIVE: To construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning. METHODS: Pediatric patients aged <7 years who received post-operative ventilation after undergoing surgery between January 2015 and December 2018 were investigated in this retr...

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Detalles Bibliográficos
Autores principales:	Shim, Jae-Geum, Ryu, Kyoung-Ho, Lee, Sung Hyun, Cho, Eun-Ah, Lee, Sungho, Ahn, Jin Hee
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8412312/ https://www.ncbi.nlm.nih.gov/pubmed/34473775 http://dx.doi.org/10.1371/journal.pone.0257069

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