Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/327868
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dc.coverage.spatial
dc.date.accessioned2021-06-03T05:21:44Z-
dc.date.available2021-06-03T05:21:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/327868-
dc.description.abstractnewline
dc.format.extentAll
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Machine Learning Algorithmic Modelling Approach to Predict the Survivality of Breast cancer patients using Mizoram medical Data
dc.title.alternative
dc.creator.researcherDawngliani, M. S.
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordImaging Science and Photographic Technology
dc.description.note
dc.contributor.guideChandrasekaran, N.
dc.publisher.placeShillong
dc.publisher.universityMartin Luther Christian University
dc.publisher.institutionComputer Sciences
dc.date.registered2015
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Sciences

Files in This Item:
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10.chapter 7.pdfAttached File405.66 kBAdobe PDFView/Open
11.appendices.pdf5.92 MBAdobe PDFView/Open
12.bibliography.pdf532.05 kBAdobe PDFView/Open
1.title.pdf393.97 kBAdobe PDFView/Open
2.declaration and certificate.pdf441.25 kBAdobe PDFView/Open
3.acknowledgment.pdf414.31 kBAdobe PDFView/Open
4.chapter 1.pdf1.26 MBAdobe PDFView/Open
5.chapter 2.pdf2.82 MBAdobe PDFView/Open
6.chapter 3.pdf2.89 MBAdobe PDFView/Open
7.chapter 4.pdf1.78 MBAdobe PDFView/Open
80_recommendation.pdf24.61 MBAdobe PDFView/Open
8.chapter 5.pdf7.46 MBAdobe PDFView/Open
9.chapter 6.pdf6.76 MBAdobe PDFView/Open


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