Medical Xpress October 6, 2024
A machine learning model based on pure-tone audiometry features can diagnose Meniere disease (MD) and predict endolymphatic hydrops (EH), according to a study published online Aug. 28 in Otolaryngology-Head and Neck Surgery.
Xu Liu, M.D., from Fudan University in Shanghai, and colleagues collected gadolinium-enhanced magnetic resonance imaging sequences and pure-tone audiometry data in a retrospective study. Based on the air conduction thresholds of pure-tone audiometry, basic and multiple analytical features were engineered. The engineered features were used to train five classical machine learning models to diagnose MD. The models with excellent performance were selected to predict EH.
The researchers found that the winning light gradient boosting (LGB) machine learning model demonstrated remarkable...
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