Interpretable machine learning classification of cedar and cypress pollen on routine Durham slides for environmental exposure assessment.

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Bibliographic Details
Title: Interpretable machine learning classification of cedar and cypress pollen on routine Durham slides for environmental exposure assessment.
Authors: Suzuki N; Nanohana ENT Clinic, Matsumoto, Nagano, Japan.; Department of Otorhinolaryngology-Head and Neck Surgery, Shinshu University School of Medicine, Matsumoto, Nagano, Japan., Sugiyama K; Department of Otorhinolaryngology-Head and Neck Surgery, Shinshu University School of Medicine, Matsumoto, Nagano, Japan., Kobayashi K; Kobayashi ENT Clinic, Matsumoto, Nagano, Japan., Fukuoka H; Fukuoka ENT Vertigo Clinic, Nagano, Nagano, Japan., Takumi Y; Department of Otorhinolaryngology-Head and Neck Surgery, Shinshu University School of Medicine, Matsumoto, Nagano, Japan.
Source: Frontiers in allergy [Front Allergy] 2026 May 07; Vol. 7, pp. 1805985. Date of Electronic Publication: 2026 May 07 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 9918227355906676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-6101 (Electronic) Linking ISSN: 26736101 NLM ISO Abbreviation: Front Allergy Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2673-6101
DOI:10.3389/falgy.2026.1805985