Separating Stroke and Vestibular Neuritis Using History, Examination and Vestibular Tests: A Machine Learning Approach (S25.009)
To develop and evaluate machine learning models for differentiation of vestibular neuritis and posterior circulation stroke using history, examination and vestibular function tests.
Authors
- Mukesh Prasad (ORCID: https://orcid.org/0000-0002-7745-9667)
- Kendall J Bein
- Ali Braytee (ORCID: https://orcid.org/0000-0003-2561-6496)
- Kunal Chaturvedi (ORCID: https://orcid.org/0000-0001-9940-1565)
- Deborah Black (ORCID: https://orcid.org/0000-0001-9174-1565)
- Benjamin Nham
- Gnana Bharathy (ORCID: https://orcid.org/0000-0001-8384-9509)
- Miriam S. Welgampola (ORCID: https://orcid.org/0000-0002-4573-4740)
- G. Michael Hálmagyi (ORCID: https://orcid.org/0000-0002-9743-466X)
- Sally M. Rosengren (ORCID: https://orcid.org/0000-0002-3830-7214)
- Chao Wang (ORCID: https://orcid.org/0000-0001-6500-5118)
- Andrew P. Bradshaw
- Nicole Reid
Institutions
- University of Technology Sydney (AU)
- The University of Sydney (AU)
- Sutherland Hospital (AU)
- Royal Prince Alfred Hospital (AU)
- UNSW Sydney (AU)
- Central Clinical Hospital (PL)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211093
- Primary Topic
- Vestibular and auditory disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00