Evaluating Prediction Models with Hearing Handicap Inventory for the Elderly in Chronic Otitis Media Patients
Although the AUC for the logistic regression did not meet the benchmark, this study highlights the potential for enhanced reliability and improved performance metrics using a larger dataset. The integration of prediction modeling techniques and the HHIE questionnaire shows promise for achieving greater diagnostic accuracy and refining intervention strategies for individuals with COM.
Authors
- Yoon Chan Rah (ORCID: https://orcid.org/0000-0003-1559-5396)
- Hee Soo Yoon (ORCID: https://orcid.org/0009-0006-2520-2372)
- June Choi (ORCID: https://orcid.org/0000-0002-6330-279X)
- Kang Hyeon Lim (ORCID: https://orcid.org/0000-0002-5064-2138)
- Minjin Kim (ORCID: https://orcid.org/0009-0000-0242-9562)
- Min Suk Kim (ORCID: https://orcid.org/0000-0002-0012-1254)
- Byung Jae Kang
Institutions
- Korea University (KR)
- Ansan University (KR)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-09-10
- DOI
- https://doi.org/10.3390/diagnostics14182000
- Citations
- 1
- Primary Topic
- Hearing Loss and Rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 0.34