Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients

Development of a predictive model for risk factors of multidrug-resistant bacterial pneumonia in critically ill post-neurosurgical patients

BackgroundMachine learning models have emerged as pivotal tools for enhancing the predictive accuracy of multidrug-resistant bacterial pneumonia (MDR-BP) risk in critically ill patients following neurosurgery procedures. By enabling early risk stratification, these models facilitate timely diagnosis...

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Bibliographic Details
Main Authors: Aixiang Hu, Dayan Ma, Yanni Lei, Fangqiang Li, Xi Wang, Yuewei Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Public Health
Subjects:
machine learning models
neurosurgical postoperative care
multidrug-resistant bacterial pneumonia
influencing factors
SHAP interpretability
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2025.1623968/full
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https://www.frontiersin.org/articles/10.3389/fpubh.2025.1623968/full

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