an intelligent diagnostic model for diabetes severity using hybrid feature selection and deep learning

dc.contributor.guide	Dr.R.SUGUMAR
dc.coverage.spatial
dc.creator.researcher	K.VIVEK BALAJI
dc.date.accessioned	2026-02-04T09:07:49Z
dc.date.available	2026-02-04T09:07:49Z
dc.date.awarded	2026
dc.date.completed	2026
dc.date.registered	2021
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	None
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid
dc.identifier.uri	http://hdl.handle.net/10603/692312
dc.language	English
dc.publisher.institution	Department of Engineering
dc.publisher.place	Chennai
dc.publisher.university	Saveetha University
dc.relation
dc.rights	university
dc.source.university	University
dc.subject.keyword	Computer Science
dc.subject.keyword	Computer Science Artificial Intelligence
dc.subject.keyword	Engineering and Technology
dc.title	an intelligent diagnostic model for diabetes severity using hybrid feature selection and deep learning
dc.title.alternative
dc.type.degree	Ph.D.