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

• Main Authors: Miao Zhou (Author), Wen.Y. Xu (Author), Sheng Xu (Author), Qing L. Zang (Author), Qi Li (Author), Li Tan (Author), Yong C. Hu (Author), Ning Ma (Author), Jian H. Xia (Author), Kun Liu (Author), Min Ye (Author), Fei Y. Pu (Author), Liang Chen (Author), Li J. Song (Author), Yang Liu (Author), Lai Jiang (Author), Lin Gu (Author), Zui Zou (Author)
• Format: Book
• Published: Frontiers Media S.A., 2022-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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