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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| Other Authors: | , , , |
| Format: | article |
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2025
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| 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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