Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques.

Adhikari, S Thapa, S Naseem, U Singh, P Huo, H

Bharathy, G Prasad, M

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Field	Value	Language
dc.contributor.author	Adhikari, S
dc.contributor.author	Thapa, S
dc.contributor.author	Naseem, U
dc.contributor.author	Singh, P
dc.contributor.author	Huo, H https://orcid.org/0000-0003-2440-714X
dc.contributor.author	Bharathy, G
dc.contributor.author	Prasad, M
dc.date.accessioned	2025-02-24T08:36:13Z
dc.date.available	2025-02-24T08:36:13Z
dc.date.issued	2022
dc.identifier.citation	Int. J. Hum. Comput. Stud., 2022, 160, pp. 102761-102761
dc.identifier.uri	http://hdl.handle.net/10453/185288
dc.language	en
dc.relation.ispartof	Int. J. Hum. Comput. Stud.
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer's disease using natural language processing and machine learning techniques.
dc.type	Journal Article
utslib.citation.volume	160
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/Centre for Cyber Security and Privacy (CCSP)
utslib.copyright.status	recently_added	*
dc.date.updated	2025-02-24T08:36:11Z
pubs.volume	160

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