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...

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Detalles Bibliográficos
Autores principales: Zhao, Qin-Yu, Wang, Huan, Luo, Jing-Chao, Luo, Ming-Hao, Liu, Le-Ping, Yu, Shen-Ji, Liu, Kai, Zhang, Yi-Jie, Sun, Peng, Tu, Guo-Wei, Luo, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165178/
https://www.ncbi.nlm.nih.gov/pubmed/34079812
http://dx.doi.org/10.3389/fmed.2021.676343

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165178/
https://www.ncbi.nlm.nih.gov/pubmed/34079812
http://dx.doi.org/10.3389/fmed.2021.676343

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