Design and implementation of substitution and hybrid classification techniques for identifying cardiac disease

dc.contributor.guide	Vijaya Arjunan, R and Prema, K V
dc.coverage.spatial	Computer Science and Engineering
dc.creator.researcher	Cenitta, D
dc.date.accessioned	2023-10-12T09:00:20Z
dc.date.available	2023-10-12T09:00:20Z
dc.date.awarded	2023
dc.date.completed	2023
dc.date.registered	2019
dc.description.abstract	Available newline
dc.description.note	Bibliography p.97-114
dc.format.accompanyingmaterial	None
dc.format.dimensions	-
dc.format.extent	116p.
dc.identifier.uri	http://hdl.handle.net/10603/517654
dc.language	English
dc.publisher.institution	Manipal Institute of Technology
dc.publisher.place	Manipal
dc.publisher.university	Manipal Academy of Higher Education
dc.relation	No. of References 148
dc.rights	university
dc.source.university	University
dc.subject.keyword	Attention Residual learning
dc.subject.keyword	Deep learning, Echo state network
dc.subject.keyword	Feature selection, Squirrel search algorithm
dc.subject.keyword	Heart disease, Fuzzy rough Set, Machine learning
dc.subject.keyword	Hybrid data classification Algorithm
dc.subject.keyword	Multiple imputation technique, Random Forest
dc.title	Design and implementation of substitution and hybrid classification techniques for identifying cardiac disease
dc.title.alternative	-
dc.type.degree	Ph.D.