Using machine learning to perform early diagnosis of Autism Spectrum Disorder based on simple upper limb movements

Wedyan, M; Al-Jumaily, A; Crippa, A

Using machine learning to perform early diagnosis of Autism Spectrum Disorder based on simple upper limb movements

Wedyan, M

Al-Jumaily, A

Crippa, A

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Publisher:: IOS Press
Publication Type:: Journal Article
Citation:: International Journal of Hybrid Intelligent Systems, 2019, 15, (4), pp. 195-206
Issue Date:: 2019-11-20

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Field	Value	Language
dc.contributor.author	Wedyan, M https://orcid.org/0000-0001-6731-7246
dc.contributor.author	Al-Jumaily, A https://orcid.org/0000-0003-0297-2463
dc.contributor.author	Crippa, A
dc.date.accessioned	2020-05-19T01:49:24Z
dc.date.available	2020-05-19T01:49:24Z
dc.date.issued	2019-11-20
dc.identifier.citation	International Journal of Hybrid Intelligent Systems, 2019, 15, (4), pp. 195-206
dc.identifier.issn	1448-5869
dc.identifier.issn	1875-8819
dc.identifier.uri	http://hdl.handle.net/10453/140811
dc.language	en
dc.publisher	IOS Press
dc.relation.ispartof	International Journal of Hybrid Intelligent Systems
dc.relation.isbasedon	10.3233/his-190278
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 1702 Cognitive Sciences
dc.title	Using machine learning to perform early diagnosis of Autism Spectrum Disorder based on simple upper limb movements
dc.type	Journal Article
utslib.citation.volume	15
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	1702 Cognitive Sciences
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Students
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Biomedical Engineering
utslib.copyright.status	open_access	*
dc.date.updated	2020-05-19T01:49:19Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	15
utslib.start-page	195
utslib.citation.issue	4

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http://hdl.handle.net/10453/140811