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

Jae-Geum Shim, Kyoung-Ho Ryu, Sung Hyun Lee, Eun-Ah Cho, Sungho Lee and Jin Hee Ahn

PLOS ONE, 2021, vol. 16, issue 9, 1-10

Abstract: Objective: To construct a prediction model for optimal tracheal tube depth in pediatric patients using machine learning. Methods: Pediatric patients aged

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0257069

DOI: 10.1371/journal.pone.0257069

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