A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis

A risk prediction model for efficient intubation in the emergency department: A 4‐year single‐center retrospective analysis

Abstract Objective To analyze the risk factors associated with intubated critically ill patients in the emergency department (ED) and develop a prediction model by machine learning algorithms. Methods This study was conducted in an academic tertiary hospital in Hangzhou, China. Critically ill patien...

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Bibliographic Details
Main Authors: Hongbo Ding, Xue Feng, Qi Yang, Yichang Yang, Siyi Zhu, Xiaozhen Ji, Yangbo Kang, Jiashen Shen, Mei Zhao, Shanxiang Xu, Gangmin Ning, Yongan Xu
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Journal of the American College of Emergency Physicians Open
Subjects:
emergency department
machine learning
mechanical ventilation
prediction model
tracheal intubation
Online Access:https://doi.org/10.1002/emp2.13190
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https://doi.org/10.1002/emp2.13190

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