Applications of machine learning techniques in the diagnosis of Parkinson’s disease: promises and challenges

Mohammed, F He, X Lin, Y

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Publisher:: The Institute of Engineering and Technology
Publication Type:: Chapter
Citation:: Mobile Technologies for Delivering Healthcare in Remote, Rural Or Developing Regions, 2020, pp. 381-398
Issue Date:: 2020-09-18

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Field	Value	Language
dc.contributor.author	Mohammed, F
dc.contributor.author	He, X
dc.contributor.author	Lin, Y https://orcid.org/0000-0002-4637-9701
dc.date.accessioned	2020-12-13T08:45:59Z
dc.date.available	2020-12-13T08:45:59Z
dc.date.issued	2020-09-18
dc.identifier.citation	Mobile Technologies for Delivering Healthcare in Remote, Rural Or Developing Regions, 2020, pp. 381-398
dc.identifier.isbn	1839530472
dc.identifier.uri	http://hdl.handle.net/10453/144655
dc.format.extent	25
dc.language	en
dc.publisher	The Institute of Engineering and Technology
dc.relation	Precision Medicine and Healthcare (Beijing) Science and Technology Co. Ltd
dc.relation.ispartof	Mobile Technologies for Delivering Healthcare in Remote, Rural Or Developing Regions
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Applications of machine learning techniques in the diagnosis of Parkinson’s disease: promises and challenges
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2020-12-13T08:45:57Z

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