Advanced Machine Learning Techniques for Early Detection of Chronic Kidney Disease Utilizing Estimated Glomerular Filtration Rate and Blood Urea Nitrogen Biomarkers With Ensemble Based Random Forest Classifier

dc.contributor.guide	Dr. K.S.THIRUNAVUKKARASU
dc.coverage.spatial
dc.creator.researcher	SHIBI MATHAI
dc.date.accessioned	2025-10-29T09:07:17Z
dc.date.available	2025-10-29T09:07:17Z
dc.date.awarded	2025
dc.date.completed	2025
dc.date.registered	2022
dc.description.abstract	newline
dc.description.note
dc.format.accompanyingmaterial	DVD
dc.format.dimensions
dc.format.extent
dc.identifier.researcherid	0009-0008-8769-7694
dc.identifier.uri	http://hdl.handle.net/10603/670079
dc.language	English
dc.publisher.institution	Department of Computer Science
dc.publisher.place	Chennai
dc.publisher.university	Vels 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	Advanced Machine Learning Techniques for Early Detection of Chronic Kidney Disease Utilizing Estimated Glomerular Filtration Rate and Blood Urea Nitrogen Biomarkers With Ensemble Based Random Forest Classifier
dc.title.alternative
dc.type.degree	Ph.D.