Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/565720
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-05-21T11:58:16Z-
dc.date.available2024-05-21T11:58:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/565720-
dc.description.abstractnewline
dc.format.extent1-181
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Framework for Pre Fall Prediction In Cardiomyopathy Patient
dc.title.alternative
dc.creator.researcherMeganasanthoshi P
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideMythili T
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology, Vellore
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered2015
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File49.41 kBAdobe PDFView/Open
02_preliminary pages.pdf451.89 kBAdobe PDFView/Open
03_table.pdf125.64 kBAdobe PDFView/Open
04_abstract.pdf40.09 kBAdobe PDFView/Open
05_chapter 1.pdf1.11 MBAdobe PDFView/Open
06_chapter 2.pdf707.1 kBAdobe PDFView/Open
07_chapter 3.pdf213.3 kBAdobe PDFView/Open
08_chapter 4.pdf1.82 MBAdobe PDFView/Open
09_chapter 5.pdf1.44 MBAdobe PDFView/Open
10_chapter 6.pdf1.33 MBAdobe PDFView/Open
11_chapter 7.pdf79.98 kBAdobe PDFView/Open
12_annexures.pdf1.05 MBAdobe PDFView/Open
80_recommendation.pdf91.88 kBAdobe PDFView/Open


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