Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit

Interpretable machine learning for early predicting the risk of ventilator-associated pneumonia in ischemic stroke patients in the intensive care unit

BackgroundThe incidence of ventilator-associated pneumonia (VAP) in ischemic stroke (IS) patients is linked to a variety of detrimental outcomes. Current approaches for the early identification of individuals at high risk for developing VAP are limited and often lack clinical interpretability. The g...

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Bibliographic Details
Main Authors: Heshan Cao, Junying Wei, Ping Hua, Songran Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Neurology
Subjects:
ischemic stroke
ventilator-associated pneumonia
machine learning
SHAP
MIMIC-IV database
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2025.1513732/full
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