Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/430204
Title: | Computational algorithm for grading the severity of obstructive sleep apnoea a novel approach |
Researcher: | Rashmi Soori |
Guide(s): | Ivor D sa |
Keywords: | Clinical Pre Clinical and Health Computational algorithm Obstructive sleep apnoea |
University: | Nitte University |
Completed Date: | 2022 |
Abstract: | newline |
URI: | http://hdl.handle.net/10603/430204 |
Appears in Departments: | K S Hegde Medical Academy |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 234.52 kB | Adobe PDF | View/Open |
02_certificate.pdf | 215.6 kB | Adobe PDF | View/Open | |
03_declaration.pdf | 264.75 kB | Adobe PDF | View/Open | |
04_acknowledgement.pdf | 229.21 kB | Adobe PDF | View/Open | |
05_content.pdf | 196.48 kB | Adobe PDF | View/Open | |
06_list of abbreviations, tables, figures.pdf | 147.31 kB | Adobe PDF | View/Open | |
07_abstract.pdf | 138.55 kB | Adobe PDF | View/Open | |
08_introduction.pdf | 191.21 kB | Adobe PDF | View/Open | |
09_methodology.pdf | 239.41 kB | Adobe PDF | View/Open | |
10_results.pdf | 827.86 kB | Adobe PDF | View/Open | |
11_discussion.pdf | 223.67 kB | Adobe PDF | View/Open | |
12_conclusion.pdf | 123.25 kB | Adobe PDF | View/Open | |
13_references.pdf | 228.45 kB | Adobe PDF | View/Open | |
14_annexures.pdf | 1.96 MB | Adobe PDF | View/Open | |
80_recommendation.pdf | 1.08 MB | Adobe PDF | View/Open |
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