Clinical Key Features Uncovered by Blood Eosinophilia‐Based Machine Learning Classification of Chronic Rhinosinusitis

ML classification of CRS revealed the involvement of basophils in eosinophilia in peripheral blood. Features specific for CRS with an AEC ≥ 1500/µL indicated that otolaryngologists should suspect the potential eosinophilic CRS with unique comorbidities even in the absence of NPs and the unremarkable inflammation on sinonasal CT.

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Publication Details

Journal
International Forum of Allergy & Rhinology
Published
2025-12-04
DOI
https://doi.org/10.1002/alr.70077
Primary Topic
Sinusitis and nasal conditions
Type
article
Field-Weighted Citation Impact
0.00
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article

Clinical Key Features Uncovered by Blood Eosinophilia‐Based Machine Learning Classification of Chronic Rhinosinusitis

Hiroatsu Hatsukawa, Zhiqian Jiang, Hiroshi Mamitsuka, Canh Hao Nguyen et al.
International Forum of Allergy & Rhinology
Sinusitis and nasal conditions
article

Clinical Key Features Uncovered by Blood Eosinophilia‐Based Machine Learning Classification of Chronic Rhinosinusitis

Hiroatsu Hatsukawa, Zhiqian Jiang, Hiroshi Mamitsuka, Canh Hao Nguyen, Masaaki Ishikawa
article en

Abstract

ML classification of CRS revealed the involvement of basophils in eosinophilia in peripheral blood. Features specific for CRS with an AEC ≥ 1500/µL indicated that otolaryngologists should suspect the potential eosinophilic CRS with unique comorbidities even in the absence of NPs and the unremarkable inflammation on sinonasal CT.

International Forum of Allergy & Rhinology
Kyoto University (JP), Kyoto Bunkyo University (JP), Hyogo Prefectural Amagasaki General Medical Center (JP)
Openalex Percentile: Top 47%
Sinusitis and nasal conditions
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