Constructing a screening model to identify patients at high risk of hospital-acquired influenza on admission to hospital
Based on the routine data, the XGBoost model demonstrated excellent calibration among all ML algorithms and accurately predicted the risk of HA influenza, thereby serving as an effective tool for early screening of HA influenza.
Authors
- Hui‐Min Qin (ORCID: https://orcid.org/0000-0002-2588-3634)
- Zhenzhen Wu (ORCID: https://orcid.org/0000-0002-0647-9070)
- Shangshu Zhang
- Peng Li (ORCID: https://orcid.org/0000-0003-2927-2758)
- Bo Qiao (ORCID: https://orcid.org/0000-0002-4416-7764)
- Leilei Guo (ORCID: https://orcid.org/0000-0003-2851-1876)
Institutions
- Henan Provincial People's Hospital (CN)
- Zhengzhou Central Hospital (CN)
- Henan Provincial Chest Hospital (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Public Health
- Published
- 2025-04-16
- DOI
- https://doi.org/10.3389/fpubh.2025.1495794
- Primary Topic
- Influenza Virus Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00