Prediction of Endotracheal Tube Size in Pediatric Patients: Development and Validation of Machine Learning Models-Reference-Cited by-同舟云学术

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Prediction of Endotracheal Tube Size in Pediatric Patients: Development and Validation of Machine Learning Models

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Zhou Miao,Xu Wenyun,Zang Qinglai,Lan Qi,Tan Li,Hu Yongchu,Ma Ning,Xia Jianhua,Liu Kun,Ye Min,Pu Feiyang,Chen Liang,Song Lijun,Liu Yang,Gu Lin,Jiang Lai,Xu Sheng,Zou Zui

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference35 articles.

1. Effect of Rocuronium vs Succinylcholine on Endotracheal Intubation Success Rate Among Patients Undergoing Out-of-Hospital Rapid Sequence Intubation: A Randomized Clinical Trial;B Guihard;Jama,2019

2. Developmental respiratory physiology;D Trachsel;Paediatr Anaesth,2022

3. Learning curve of ultrasound measurement of subglottic diameter for endotracheal tube selection in pediatric patients;M Orhan-Sungur;Paediatr Anaesth,2019

4. Prediction of pediatric endotracheal tube size by ultrasonography;M Shibasaki;Anesthesiology,2010

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