Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/566593
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DC FieldValueLanguage
dc.coverage.spatial243p.
dc.date.accessioned2024-05-27T04:34:50Z-
dc.date.available2024-05-27T04:34:50Z-
dc.identifier.urihttp://hdl.handle.net/10603/566593-
dc.description.abstractnewline
dc.format.extent243p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleClassification and early detection of diabetes using machine learning approach
dc.title.alternative
dc.creator.researcherAtif, Mohammad
dc.subject.keywordAutomation and Control Systems
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideFaisal Anwer and Faisal Talib
dc.publisher.placeAligarh
dc.publisher.universityAligarh Muslim University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01 title_page.pdfAttached File685.56 kBAdobe PDFView/Open
02 prelim pages.pdf1.2 MBAdobe PDFView/Open
03 contents.pdf231.03 kBAdobe PDFView/Open
04 abstract.pdf980.75 kBAdobe PDFView/Open
05 chapter 1.pdf384.27 kBAdobe PDFView/Open
06 chapter 2.pdf643.67 kBAdobe PDFView/Open
07 chapter 3.pdf1.07 MBAdobe PDFView/Open
08 chapter 4.pdf1.21 MBAdobe PDFView/Open
09 chapter 5.pdf1.8 MBAdobe PDFView/Open
10 chapter 6.pdf360.67 kBAdobe PDFView/Open
11 annexures.pdf754.18 kBAdobe PDFView/Open
80_recommendation.pdf1.04 MBAdobe PDFView/Open


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