Prediction of endotracheal tube size in pediatric patients: Development and validation of machine learning models

OBJECTIVE: We aimed to construct and validate machine learning models for endotracheal tube (ETT) size prediction in pediatric patients. METHODS: Data of 990 pediatric patients underwent endotracheal intubation were retrospectively collected between November 2019 and October 2021, and separated into...

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Detalles Bibliográficos
Autores principales: Zhou, Miao, Xu, Wen.Y., Xu, Sheng, Zang, Qing L., Li, Qi, Tan, Li, Hu, Yong C., Ma, Ning, Xia, Jian H., Liu, Kun, Ye, Min, Pu, Fei Y., Chen, Liang, Song, Li J., Liu, Yang, Jiang, Lai, Gu, Lin, Zou, Zui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pediatrics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631215/
https://www.ncbi.nlm.nih.gov/pubmed/36340734
http://dx.doi.org/10.3389/fped.2022.970646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9631215/
https://www.ncbi.nlm.nih.gov/pubmed/36340734
http://dx.doi.org/10.3389/fped.2022.970646

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