Optimizing a Classification Model to Evaluate Individual Susceptibility in Noise-Induced Hearing Loss: Cross-Sectional Study
An ML-based NIHL diagnostic model with misclassified subjects using the mean HTs of 4 and 12.5 kHz was the most reliable method for identifying individuals susceptible or resistant to NIHL. However, further studies are needed to determine the genetic factors that govern NIHL susceptibility.
Authors
- Junjie Guo (ORCID: https://orcid.org/0000-0002-3414-3734)
- Richard Salvi (ORCID: https://orcid.org/0000-0001-9061-8602)
- Shiyuan Li (ORCID: https://orcid.org/0009-0000-8893-2387)
- Hui Wang (ORCID: https://orcid.org/0000-0003-4196-997X)
- Wenxin Shen
- Xinrong Ma
- Shankai Yin (ORCID: https://orcid.org/0000-0003-3654-0028)
- Yu Xiao (ORCID: https://orcid.org/0000-0001-5668-7241)
- Hongyu Dong
- Ying Wang (ORCID: https://orcid.org/0000-0002-1644-295X)
- Jiping Wang (ORCID: https://orcid.org/0000-0003-2942-1274)
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- JMIR Public Health and Surveillance
- Published
- 2024-08-30
- DOI
- https://doi.org/10.2196/60373
- Primary Topic
- Noise Effects and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00