Development of a Machine-Learning Model for Prediction of Extubation Failure in Patients with Difficult Airways after General Anesthesia of Head, Neck, and Maxillofacial Surgeries

Development of a Machine-Learning Model for Prediction of Extubation Failure in Patients with Difficult Airways after General Anesthesia of Head, Neck, and Maxillofacial Surgeries

(1) Background: Extubation failure after general anesthesia is significantly associated with morbidity and mortality. The risk of a difficult airway after the general anesthesia of head, neck, and maxillofacial surgeries is significantly higher than that after general surgery, increasing the inciden...

Full description

Bibliographic Details
Main Authors: Huimin Huang, Jiayi Wang, Ying Zhu, Jinxing Liu, Ling Zhang, Wei Shi, Wenyue Hu, Yi Ding, Ren Zhou, Hong Jiang
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Journal of Clinical Medicine
Subjects:
postoperative difficult airway
extubation failure
machine learning
head neck and maxillofacial surgeries
general anesthesia
Online Access:https://www.mdpi.com/2077-0383/12/3/1066

Internet

https://www.mdpi.com/2077-0383/12/3/1066

Similar Items