YI7 A machine learning approach to differentiating stroke from vestibular neuritis using history, examination and vestibular tests

Wang, C; Chaturvedi, K; Nham, B; Reid, N; Bradshaw, AP; Rosengren, SM; Black, DA; Bein, KJ; Halmagyi, M; Braytee, A; Bharathy, GK; Prasad, M; Welgampola, MS

YI7 A machine learning approach to differentiating stroke from vestibular neuritis using history, examination and vestibular tests

Wang, C Chaturvedi, K

Nham, B Reid, N Bradshaw, AP Rosengren, SM Black, DA Bein, KJ Halmagyi, M Braytee, A

Bharathy, GK Prasad, M Welgampola, MS

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Publisher:: BMJ
Publication Type:: Conference Proceeding
Citation:: Young Investigator Session Abstracts, 2025, pp. a3.2-a3a3
Issue Date:: 2025-10

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Field	Value	Language
dc.contributor.author	Wang, C
dc.contributor.author	Chaturvedi, K https://orcid.org/0000-0001-9940-1565
dc.contributor.author	Nham, B
dc.contributor.author	Reid, N
dc.contributor.author	Bradshaw, AP
dc.contributor.author	Rosengren, SM
dc.contributor.author	Black, DA
dc.contributor.author	Bein, KJ
dc.contributor.author	Halmagyi, M
dc.contributor.author	Braytee, A https://orcid.org/0000-0003-2561-6496
dc.contributor.author	Bharathy, GK
dc.contributor.author	Prasad, M
dc.contributor.author	Welgampola, MS
dc.date.accessioned	2026-03-18T04:21:23Z
dc.date.available	2026-03-18T04:21:23Z
dc.date.issued	2025-10
dc.identifier.citation	Young Investigator Session Abstracts, 2025, pp. a3.2-a3a3
dc.identifier.uri	http://hdl.handle.net/10453/194371
dc.language	en
dc.publisher	BMJ
dc.relation.ispartof	Young Investigator Session Abstracts
dc.relation.ispartof	Young Investigator Session Abstracts
dc.relation.isbasedon	10.1136/bmjno-2025-anzan.7
dc.rights	info:eu-repo/semantics/openAccess
dc.title	YI7 A machine learning approach to differentiating stroke from vestibular neuritis using history, examination and vestibular tests
dc.type	Conference Proceeding
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/UTS Groups
pubs.organisational-group	University of Technology Sydney/UTS Groups/INSIGHT: Institute for Innovative Solutions for Wellbeing and Health
pubs.organisational-group	University of Technology Sydney/UTS Groups/The Trustworthy Digital Society
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/Engineering and IT Related HDR Students
utslib.copyright.status	open_access	*
dc.rights.license	This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). To view a copy of this license, visit https://creativecommons.org/licenses/by-nc/4.0/
dc.date.updated	2026-03-18T04:21:22Z
pubs.publication-status	Published

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