Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/601278
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dc.coverage.spatial
dc.date.accessioned2024-11-14T12:04:36Z-
dc.date.available2024-11-14T12:04:36Z-
dc.identifier.urihttp://hdl.handle.net/10603/601278-
dc.format.extent5.45MB
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDisease Prediction With Drug And Diet Recommendation Using Diverse Machine Learning Techniques
dc.title.alternative
dc.creator.researcherNayak, Suvendu Kumar
dc.subject.keyword
dc.subject.keywordArtificial intelligence
dc.subject.keywordBack propagation (Artificial intelligence)
dc.subject.keywordComputational learning theory
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.subject.keywordMachine learning
dc.subject.keywordSupervised learning (Machine learning)
dc.description.noteDisease Prediction, Drug Recommendation, Diet Recommendation
dc.contributor.guideGaranayak, Mamata and Swain, Sangram Keshari
dc.publisher.placeGajapati
dc.publisher.universityCenturion University of Technology and Management
dc.publisher.institutionComputer Sc. and Enggineering
dc.date.registered2019
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Sc. and Enggineering

Files in This Item:
File Description SizeFormat 
01. title.pdfAttached File45.22 kBAdobe PDFView/Open
02. preliminary pages.pdf650.55 kBAdobe PDFView/Open
03. table of contents.pdf180.3 kBAdobe PDFView/Open
04. abstract.pdf7.98 kBAdobe PDFView/Open
05. chapter 1.pdf683.39 kBAdobe PDFView/Open
06. chapter 2.pdf440.92 kBAdobe PDFView/Open
07. chapter 3.pdf1.46 MBAdobe PDFView/Open
08. chapter 4.pdf1.72 MBAdobe PDFView/Open
09. chapter 5.pdf1.01 MBAdobe PDFView/Open
10. chapter 6.pdf949.96 kBAdobe PDFView/Open
11. chapter 7.pdf328.38 kBAdobe PDFView/Open
80_recommendation.pdf372.57 kBAdobe PDFView/Open
annexure.pdf488.35 kBAdobe PDFView/Open


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