A multimodal data-based diagnostic model for predicting vestibular migraine: a retrospective study
The multimodal diagnostic prediction model developed in this study demonstrates high preliminary accuracy. It shows potential as a clinical tool for improving the diagnosis of VM, but its generalizability requires validation in larger, prospective cohorts.
Authors
- Ping Gu (ORCID: https://orcid.org/0000-0001-7681-1043)
- Yilin Lang
- Shaona Liu
- Shuo Qin (ORCID: https://orcid.org/0000-0003-0743-9254)
- Wenting Wang (ORCID: https://orcid.org/0000-0002-9626-1568)
- Sai Zhang (ORCID: https://orcid.org/0000-0002-8028-4183)
- Dong Li (ORCID: https://orcid.org/0000-0002-0823-195X)
- Ting Zhang (ORCID: https://orcid.org/0000-0002-5554-238X)
- Shankai Yin (ORCID: https://orcid.org/0000-0003-3654-0028)
- Yongci Hao
- Shuangmei Yan (ORCID: https://orcid.org/0000-0002-3975-7487)
Institutions
- Hebei Medical University (CN)
- First Affiliated Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fneur.2025.1723008
- Primary Topic
- Vestibular and auditory disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00