Development and Interpretation of a Machine Learning-Based Predictive Model Using Clinical Parameters for Eosinophilic Chronic Rhinosinusitis With Nasal Polyps.

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Bibliographic Details
Title: Development and Interpretation of a Machine Learning-Based Predictive Model Using Clinical Parameters for Eosinophilic Chronic Rhinosinusitis With Nasal Polyps.
Authors: Liu L; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Pei S; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Liu Z; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Wang Y; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Ding W; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Zhao Y; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Li Y; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Chen X; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., He W; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China., Duan S; Department of Otolaryngology-Head and Neck Surgery, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, China.
Source: American journal of rhinology & allergy [Am J Rhinol Allergy] 2026 Jul; Vol. 40 (4), pp. 316-326. Date of Electronic Publication: 2026 Mar 18.
Publication Type: Journal Article
Journal Info: Publisher: SAGE Publications Country of Publication: United States NLM ID: 101490775 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1945-8932 (Electronic) Linking ISSN: 19458932 NLM ISO Abbreviation: Am J Rhinol Allergy Subsets: MEDLINE
Database: MEDLINE Ultimate
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