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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
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 |
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