Development and comparison of machine learning models for predicting moderate-to-severe tinnitus in patients with hearing loss
The RF model showed the best performance in predicting clinically significant tinnitus, with hearing loss severity, age, and sleep disorder identified as major predictors. Integrating auditory and psychological factors can improve early risk identification in patients with hearing loss.
Authors
- Yuxing Wang (ORCID: https://orcid.org/0000-0003-3079-5572)
- Di Xiao
- Tao Ran
- Chenguang Zhang
- Ying Zhang
- Bin Guo
Institutions
- Qinghai University (CN)
- Sun Yat-sen University (CN)
- Dalian Medical University (CN)
- Qinghai University Affiliated Hospital (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-12
- DOI
- https://doi.org/10.3389/fneur.2025.1741302
- Primary Topic
- Hearing, Cochlea, Tinnitus, Genetics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Qinghai University