Predicting nosocomial pneumonia of patients with acute brain injury in intensive care unit using machine-learning models
Machine learning models can effectively predict the risk of nosocomial pneumonia infection in patients with acute brain injury in the ICU. Despite differences in populations and algorithms, the models we constructed demonstrated reliable predictive performance.
Authors
- Yongping You (ORCID: https://orcid.org/0000-0003-4753-5515)
- Jing Ji
- Zhen Yue
- G. Gu (ORCID: https://orcid.org/0009-0005-4630-0038)
- Junchen Pan (ORCID: https://orcid.org/0009-0005-6614-5290)
- Yan Liu (ORCID: https://orcid.org/0000-0002-2566-6867)
- Shen Zhang (ORCID: https://orcid.org/0000-0001-5374-1521)
- Liqing Bi
- Ming Chen (ORCID: https://orcid.org/0000-0003-2721-3738)
- X. A. Xiong (ORCID: https://orcid.org/0009-0001-2580-9792)
Institutions
- Nanjing Brain Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Jiangsu Province Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-04-11
- DOI
- https://doi.org/10.3389/fmed.2025.1501025
- Citations
- 2
- Primary Topic
- Nosocomial Infections in ICU
- Type
- article
- Field-Weighted Citation Impact
- 3.09
Funders
- National Natural Science Foundation of China
- Nanjing Medical University