Gait Variability Assessment for Parkinsons Disease Diagnosis and Severity Prediction Using Machine and Deep Learning Models

dc.contributor.guide	Sasikumar P
dc.coverage.spatial
dc.creator.researcher	Vidya B
dc.date.accessioned	2023-12-14T12:20:21Z
dc.date.available	2023-12-14T12:20:21Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2018
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent	1-135
dc.identifier.uri	http://hdl.handle.net/10603/529293
dc.language	English
dc.publisher.institution	School of Electronic Engineering
dc.publisher.place	Vellore
dc.publisher.university	Vellore Institute of Technology, Vellore
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Engineering
dc.subject.keyword	Engineering and Technology
dc.subject.keyword	Engineering Electrical and Electronic
dc.title	Gait Variability Assessment for Parkinsons Disease Diagnosis and Severity Prediction Using Machine and Deep Learning Models
dc.title.alternative
dc.type.degree	Ph.D.