Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units

Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units

Background: Extubation failure (EF) can lead to an increased chance of ventilator-associated pneumonia, longer hospital stays, and a higher mortality rate. This study aimed to develop and validate an accurate machine-learning model to predict EF in intensive care units (ICUs).Methods: Patients who u...

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Bibliographic Details
Main Authors: Qin-Yu Zhao, Huan Wang, Jing-Chao Luo, Ming-Hao Luo, Le-Ping Liu, Shen-Ji Yu, Kai Liu, Yi-Jie Zhang, Peng Sun, Guo-Wei Tu, Zhe Luo
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Medicine
Subjects:
extubation failure
recursive feature elimination
hyperparameter optimization
categorical boosting
prospective validation
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2021.676343/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2021.676343/full

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