Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning

DT and SHAP selected the same three top features of CRS with CEP. When patients with CRS satisfy the DT algorithm, they may have ECRS with CEP. Therefore, otolaryngologists should perform sinonasal biopsies and chest imaging.

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Institutions

Publication Details

Journal
International Forum of Allergy & Rhinology
Published
2025-05-30
DOI
https://doi.org/10.1002/alr.23613
Citations
2
Primary Topic
Sinusitis and nasal conditions
Type
article
Field-Weighted Citation Impact
3.70

Funders

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article

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning

Hiroatsu Hatsukawa, Tomoyuki Hirai, Satoru Terada, Zhiqian Jiang et al.
2 citations
International Forum of Allergy & Rhinology
Sinusitis and nasal conditions
3.70
article

Uncovering Key Features for Predicting Comorbid Chronic Eosinophilic Pneumonia in Chronic Rhinosinusitis via Machine Learning

Hiroatsu Hatsukawa, Tomoyuki Hirai, Satoru Terada, Zhiqian Jiang, Hirotaka Matsumoto, Hiroshi Mamitsuka, Canh Hao Nguyen, Emiko Saito, Masaaki Ishikawa, Kouya Okazaki, Kazuo Endo
article en
2 citations

Abstract

DT and SHAP selected the same three top features of CRS with CEP. When patients with CRS satisfy the DT algorithm, they may have ECRS with CEP. Therefore, otolaryngologists should perform sinonasal biopsies and chest imaging.

International Forum of Allergy & RhinologyVol. 15(10)
Kyoto University (JP), Hyogo Prefectural Amagasaki General Medical Center (JP), Kyoto University Institute for Chemical Research
Takeda Science Foundation
Openalex Percentile: Top 7%
Sinusitis and nasal conditions
3.70
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