Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/519748
Title: | Optimized deep artificial neural network based diabetes mellitus and severity level estimation |
Researcher: | Annamalai, R |
Guide(s): | Nedunchelian, R |
Keywords: | Chronic diseases Computer Science Computer Science Information Systems Diabetes mellitus Engineering and Technology Pancreas |
University: | Anna University |
Completed Date: | 2023 |
Pagination: | xix,149p. |
URI: | http://hdl.handle.net/10603/519748 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 612.78 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 783.92 kB | Adobe PDF | View/Open | |
03_content.pdf | 10.05 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 4.87 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 371.68 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 60.12 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 961.26 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 814.98 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 548.68 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 21.91 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 84.42 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 415.24 kB | Adobe PDF | View/Open |
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