1. Shodhganga@INFLIBNET
  2. University of Madras
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/345351
Title: Optimized Techniques To Determine The Efficiency Of Chronic Kidney Disease Diagnosis Using Data Mining Based On Artificial Neural Networks
Researcher: Shakira Fathima H
Guide(s): k Nirmala
Keywords: Engineering and Technology
Computer Science
Computer Science Artificial Intelligence
University: University of Madras
Completed Date: 2020
Abstract: newlineOptimized Techniques To Determine The Efficiency Of Chronic Kidney Disease Diagnosis Using Data Mining Based On Artificial Neural Networks
Pagination: 
URI: http://hdl.handle.net/10603/345351
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
10. chapter 7.pdfAttached File927.76 kBAdobe PDFView/Open
11. chapter 8.pdf1.05 MBAdobe PDFView/Open
12. chapter 9.pdf298.01 kBAdobe PDFView/Open
13. reference.pdf244.88 kBAdobe PDFView/Open
1. title page.pdf105.22 kBAdobe PDFView/Open
2. certificate.pdf1.3 MBAdobe PDFView/Open
3. preliminary pages.pdf319.17 kBAdobe PDFView/Open
4. chapter 1.pdf535.15 kBAdobe PDFView/Open
5. chapter 2.pdf282.74 kBAdobe PDFView/Open
6. chapter 3.pdf366.37 kBAdobe PDFView/Open
7. chapter 4.pdf809.82 kBAdobe PDFView/Open
80_recommendation.pdf385.83 kBAdobe PDFView/Open
8. chapter 5.pdf737.75 kBAdobe PDFView/Open
9. chapter 6.pdf991.36 kBAdobe PDFView/Open
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