Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan

Explainable machine learning approach to predict extubation in critically ill ventilated patients: a retrospective study in central Taiwan

Abstract Background Weaning from mechanical ventilation (MV) is an essential issue in critically ill patients, and we used an explainable machine learning (ML) approach to establish an extubation prediction model. Methods We enrolled patients who were admitted to intensive care units during 2015–201...

Full description

Bibliographic Details
Main Authors: Kai-Chih Pai, Shao-An Su, Ming-Cheng Chan, Chieh-Liang Wu, Wen-Cheng Chao
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Anesthesiology
Subjects:
Mechanical ventilation
Extubation
Machine learning
Explanation
Critically ill patients
Online Access:https://doi.org/10.1186/s12871-022-01888-y

Internet

https://doi.org/10.1186/s12871-022-01888-y

Similar Items