1. Shodhganga@INFLIBNET
  2. Sri Venkateswara University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/224046
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DC FieldValueLanguage
dc.date.accessioned2018-12-21T08:59:44Z-
dc.date.available2018-12-21T08:59:44Z-
dc.identifier.urihttp://hdl.handle.net/10603/224046-
dc.description.abstractnone-
dc.languageEnglish-
dc.rightsuniversity-
dc.titleThe progressive approach to develop a clinical support system for the prognosis of differential renal sysndromes and prediction of nephrolithiasls using artifical neural networks-
dc.creator.researcherG Sumana-
dc.contributor.guideG Anjan Babu-
dc.publisher.placeTirupati-
dc.publisher.universitySri Venkateswara University-
dc.publisher.institutionDepartment of Computer Science-
dc.date.registeredn.d.-
dc.date.completed2017-
dc.date.awardedn.d.-
dc.format.accompanyingmaterialDVD-
dc.source.universityUniversity-
dc.type.degreePh.D.-
Appears in Departments:Department of Computer Science

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01_abstract.pdfAttached File505.94 kBAdobe PDFView/Open
02_chapter_01.pdf1.34 MBAdobe PDFView/Open
03_chapter_02.pdf390.61 kBAdobe PDFView/Open
04_chapter_03.pdf2.07 MBAdobe PDFView/Open
05_chapter_04.pdf605.54 kBAdobe PDFView/Open
06_chapter_05.pdf743.74 kBAdobe PDFView/Open
07_chapter_06.pdf555.93 kBAdobe PDFView/Open
08_chapter_07.pdf108.11 kBAdobe PDFView/Open
09_publications.pdf278.04 kBAdobe PDFView/Open
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