A hybrid approach of fuzzy logic and machine learning technique for the prediction of parkinson disease

dc.contributor.guide	Bhuvaneswari, S.
dc.coverage.spatial
dc.creator.researcher	Poongodai, A.
dc.date.accessioned	2022-04-11T12:33:23Z
dc.date.available	2022-04-11T12:33:23Z
dc.date.awarded
dc.date.completed	2017
dc.date.registered
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent	xii, 111p.
dc.identifier.uri	http://hdl.handle.net/10603/373453
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Pondicherry
dc.publisher.university	Pondicherry University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Information Systems
dc.subject.keyword	Parkinson s disease
dc.subject.keyword	neurological disorder
dc.subject.keyword	UPDRS
dc.subject.keyword	Fuzzy Rule Mining
dc.subject.keyword	Fuzzy Expert System
dc.title	A hybrid approach of fuzzy logic and machine learning technique for the prediction of parkinson disease
dc.title.alternative
dc.type.degree	Ph.D.