Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/418041
Title: | An amalgamation of Ayurveda and evidence based medicines with artificial intelligence and machine learning for less expensive and effective diagnosis approaches |
Researcher: | Manjula, H M |
Guide(s): | Anandaraj, S P |
Keywords: | Amalgamation Artificial Intelligence Ayurveda Chronic disease Computer Science Data mart Data warehouse Engineering and Technology Evidence-based medicine Machine learning |
University: | Presidency University, Karnataka |
Completed Date: | 2022 |
Abstract: | newline |
Pagination: | |
URI: | http://hdl.handle.net/10603/418041 |
Appears in Departments: | School of Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 95.97 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.83 MB | Adobe PDF | View/Open | |
03_content.pdf | 435.9 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 722.99 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 6.07 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 12.25 MB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 6.21 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 6.69 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 2.65 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 7.07 MB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 1.08 MB | Adobe PDF | View/Open | |
12_annexures.pdf | 8.51 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.18 MB | Adobe PDF | View/Open |
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