An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia.

An interpretable machine learning model for predicting in-hospital mortality in ICU patients with ventilator-associated pneumonia.

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<h4>Background</h4>Ventilator-associated pneumonia (VAP) is a common nosocomial infection in ICU, significantly associated with poor outcomes. However, there is currently a lack of reliable and interpretable tools for assessing the risk of in-hospital mortality in VAP patients. This stud...

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Bibliographic Details
Main Authors: Junying Wei, Heshan Cao, Mingling Peng, Yinzhou Zhang, Sibei Li, Wuhua Ma, Yuhui Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0316526
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