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

Internet

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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