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Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability

5 Jun 2025

Abstract excerpt

The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public health problem. This study aims to identify the risk factors of CRPA infection and construct a machine learning model to provide a prediction tool for clinical prevention and control. A total of 1949 patients with P.aeruginosa health care-associated infections (HAIs) were enrolled in this study. A total of 89...

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PMID: 40473759
DOI: 10.1038/s41598-025-04028-x

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