Forest-EMCBE: an evolutionary ensemble learning algorithm for multiclass diagnosis of bacterial pneumonia using the CBC dataset.

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Title: Forest-EMCBE: an evolutionary ensemble learning algorithm for multiclass diagnosis of bacterial pneumonia using the CBC dataset.
Authors: Shen Y; School of Computer, Electronics and Information, Guangxi University, Nanning, China., Xu X; Qixia People's Hospital of Shandong Province, Yantai, China., Hao X; School of Computer, Electronics and Information, Guangxi University, Nanning, China., Sun C; School of Computer, Electronics and Information, Guangxi University, Nanning, China.; Guangxi Colleges and Universities Key Laboratory of Multimedia Communications and Information Processing, Nanning, China., Lan W; School of Computer, Electronics and Information, Guangxi University, Nanning, China.; Guangxi Colleges and Universities Key Laboratory of Multimedia Communications and Information Processing, Nanning, China.
Source: Frontiers in bioinformatics [Front Bioinform] 2026 Mar 18; Vol. 6, pp. 1792643. Date of Electronic Publication: 2026 Mar 18 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227263306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-7647 (Electronic) Linking ISSN: 26737647 NLM ISO Abbreviation: Front Bioinform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2673-7647
DOI:10.3389/fbinf.2026.1792643