PreBP: an interpretable, optimized ensemble framework using routine complete blood count for rapid pathogen identification in bacterial pneumonia
Because the framework relies on routine CBC measurements, it can generate interpretable predictions once CBC results are available, which may provide supplementary evidence for earlier pathogen-oriented clinical decision-making alongside culture-dependent workflows. Overall, PreBP offers an interpretable and computational approach for pathogen identification in bacterial pneumonia based on routine laboratory data.
Authors
- Xiaoxi Hao (ORCID: https://orcid.org/0000-0003-1113-3979)
- Wei Lan (ORCID: https://orcid.org/0000-0001-5839-7504)
- Cuimin Sun (ORCID: https://orcid.org/0000-0003-4174-1094)
- Dingjian Liang
- Yimin Shen
Institutions
- Guangxi University (CN)
- Guangxi Medical University (CN)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2026-01-14
- DOI
- https://doi.org/10.3389/fbinf.2025.1769816
- Primary Topic
- Bacterial Identification and Susceptibility Testing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China