Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach

Prediction of stroke-associated hospital-acquired pneumonia: Machine learning approach

BackgroundStroke-associated Hospital Acquired Pneumonia (HAP) significantly impacts patient outcomes. This study explores the utility of machine learning models in predicting HAP in stroke patients, leveraging national registry data and SHapley Additive exPlanations (SHAP) analysis to identify key p...

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Bibliographic Details
Main Author: Abujaber, Ahmad A. (author)
Other Authors: Yaseen, Said (author), Nashwan, Abdulqadir J. (author), Akhtar, Naveed (author), Imam, Yahia (author)
Format: article
Published: 2025
Subjects:
Stroke
Hospital-acquired pneumonia
Machine learning
Personalized stroke care
Stroke outcomes
Online Access:http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2024.108200
https://www.sciencedirect.com/science/article/pii/S1052305724006438
http://hdl.handle.net/10576/64520
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