1. Shodhganga@INFLIBNET
  2. Indraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
  3. Department of Computational Biology
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/597481
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-10-23T11:17:31Z-
dc.date.available2024-10-23T11:17:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/597481-
dc.description.abstractAvailable
dc.format.extent161 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleLearning from high dimensional healthcare data to improve interpretability and insights
dc.title.alternative
dc.creator.researcherJha, Indra Prakash
dc.subject.keywordBiology
dc.subject.keywordBiology and Biochemistry
dc.subject.keywordLife Sciences
dc.description.note
dc.contributor.guideKumar, Vibhor
dc.publisher.placeDelhi
dc.publisher.universityIndraprastha Institute of Information Technology, Delhi (IIIT-Delhi)
dc.publisher.institutionDepartment of Computational Biology
dc.date.registered
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computational Biology

Files in This Item:
File Description SizeFormat 
01-title.pdfAttached File74.34 kBAdobe PDFView/Open
02_prelim pages.pdf350.97 kBAdobe PDFView/Open
03_content.pdf63.5 kBAdobe PDFView/Open
04_abstract.pdf93.19 kBAdobe PDFView/Open
05_chapter 1.pdf383.32 kBAdobe PDFView/Open
06_chapter 2.pdf4.62 MBAdobe PDFView/Open
07_chapter 3.pdf1.01 MBAdobe PDFView/Open
08_chapter 4.pdf1.6 MBAdobe PDFView/Open
09_chapter 5.pdf1.92 MBAdobe PDFView/Open
10_annexures.pdf130.45 kBAdobe PDFView/Open
80_recommendation.pdf134.32 kBAdobe PDFView/Open
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