Prediction of Cochlear Disorders Using Face Tilt Estimation and Audiology Data
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35081-8_19
Reference10 articles.
1. Garg, S., Kohli, C., Mangla, V., Chadha, S., Singh, M.M., Dahiya, N.: An epidemiological study on burden of hearing loss and its associated factors in Delhi, India. Ann. Otol. Rhinol. Laryngol. 127(9), 614–619 (2018). https://doi.org/10.1177/0003489418781968
2. https://www.nidcd.nih.gov/health/statistics/use-hearing-aids-adults-hearing-loss
3. Glassman, J., Jordan, T., Sheu, J.-J., Pakulski, L., Thompson, A.: Health status of adults with hearing loss in the United States. Audiol. Res. 11(1), 100–111 (2021). https://doi.org/10.3390/audiolres11010011
4. Aljabery, M., Kurnaz, S.: Applying datamining techniques to predict hearing aid type for audiology patients. J. Inf. Sci. Eng. 36, 205–215 (2020). https://doi.org/10.6688/JISE.202003_36(2).0002
5. Kabade, V., et al.: Machine learning techniques for differential diagnosis of vertigo and dizziness: a review. Sensors 21(22), 7565 (2021). https://doi.org/10.3390/s21227565
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