Optimizing age-related hearing risk predictions: an advanced machine learning integration with HHIE-S
Tzong-Hann Yang,
Yu-Fu Chen,
Yen-Fu Cheng
et al.
Abstract:Objectives
The elderly are disproportionately affected by age-related hearing loss (ARHL). Despite being a well-known tool for ARHL evaluation, the Hearing Handicap Inventory for the Elderly Screening version (HHIE-S) has only traditionally been used for direct screening using self-reported outcomes. This work uses a novel integration of machine learning approaches to improve the predicted accuracy of the HHIE-S tool for ARHL in older adults.
Methods
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