Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan

Explainable Machine Learning to Predict Successful Weaning Among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan

Objective: The number of patients requiring prolonged mechanical ventilation (PMV) is increasing worldwide, but the weaning outcome prediction model in these patients is still lacking. We hence aimed to develop an explainable machine learning (ML) model to predict successful weaning in patients requ...

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Bibliographic Details
Main Authors: Ming-Yen Lin, Chi-Chun Li, Pin-Hsiu Lin, Jiun-Long Wang, Ming-Cheng Chan, Chieh-Liang Wu, Wen-Cheng Chao
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-04-01
Series:Frontiers in Medicine
Subjects:
explainable AI
weaning
prediction mode
prolonged mechanical ventilation
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.663739/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.663739/full

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