Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/597870
Title: | Diagnosis and assessment of covid 19 with smart healthcare and severity classification using machine learning |
Researcher: | Chadaga, Krishnaraj |
Guide(s): | Prabhu, Srikanth., Shashikiran Umakanth., Bhat, Vivekananda K and Niranjana Sampathila |
Keywords: | Artificial Intelligence; COVID-19 Explainable Artificial Intelligence Machine Learning |
University: | Manipal Academy of Higher Education |
Completed Date: | 2024 |
Abstract: | Available newline |
Pagination: | 131p. |
URI: | http://hdl.handle.net/10603/597870 |
Appears in Departments: | Manipal Institute of Technology |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 291.02 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.28 MB | Adobe PDF | View/Open | |
03_content.pdf | 284.12 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 351.66 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 543.52 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 506.49 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 930.85 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 857.85 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 2.47 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 958.02 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 618.09 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 514.83 kB | Adobe PDF | View/Open |
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