Comparative evaluation of machine learning models for enhancing diagnostic accuracy of otitis media with effusion in children with adenoid hypertrophy

Comparative evaluation of machine learning models for enhancing diagnostic accuracy of otitis media with effusion in children with adenoid hypertrophy

BackgroundOtitis media with effusion (OME) affects a significant proportion of children with adenoid hypertrophy (AH) and can lead to developmental sequelae when chronic. Current non-invasive screening modalities rely predominantly on acoustic immittance measurements, which demonstrate variable diag...

Full description

Saved in:
Bibliographic Details
Main Authors: Xiaote Zhang, Qiaoyi Xie, Ganggang Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Pediatrics
Subjects:
otitis media with effusion
adenoid hypertrophy
machine learning
random forest
diagnostic accuracy
SHAP analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fped.2025.1614495/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fped.2025.1614495/full

Similar Items