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

<h4>Objective</h4>To construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning.<h4>Methods</h4>Pediatric patients aged <7 years who received post-operative ventilation after undergoing surgery between January 2015 and Decembe...

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Autores principales: Jae-Geum Shim, Kyoung-Ho Ryu, Sung Hyun Lee, Eun-Ah Cho, Sungho Lee, Jin Hee Ahn
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/3d545c11ac40473380114d822a14b2e6
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