Comparative evaluation of machine learning models for enhancing diagnostic accuracy of otitis media with effusion in children with adenoid hypertrophy
An RF-based diagnostic model effectively identifies OME in AH children by integrating anatomical, functional, and inflammatory parameters, providing a clinically applicable tool for enhanced diagnostic accuracy and evidence-based management decisions.
Authors
- Qiaoyi Xie
- Xiaote Zhang (ORCID: https://orcid.org/0009-0009-6328-7700)
- Guangyong Wu
Institutions
- Ningbo No. 2 Hospital (CN)
- Ningbo University Affiliated Hospital (CN)
Publication Details
- Journal
- Frontiers in Pediatrics
- Published
- 2025-06-19
- DOI
- https://doi.org/10.3389/fped.2025.1614495
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00