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.

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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

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article

PreBP: an interpretable, optimized ensemble framework using routine complete blood count for rapid pathogen identification in bacterial pneumonia

Xiaoxi Hao, Wei Lan, Cuimin Sun, Dingjian Liang et al.
Frontiers in Bioinformatics
Bacterial Identification and Susceptibility Testing
article

PreBP: an interpretable, optimized ensemble framework using routine complete blood count for rapid pathogen identification in bacterial pneumonia

Xiaoxi Hao, Wei Lan, Cuimin Sun, Dingjian Liang, Yimin Shen
article en

Abstract

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.

Frontiers in BioinformaticsVol. 5
Guangxi University (CN), Guangxi Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 83%
Bacterial Identification and Susceptibility Testing
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