Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/566679
Title: | Machine learning based approaches for identification and prediction of syncope |
Researcher: | Hussain, Shahadat |
Guide(s): | Raza, Zahid |
Keywords: | Health Care Sciences and Services Machine learning based approaches for identification Prediction of syncope |
University: | Jawaharlal Nehru University |
Completed Date: | 2022 |
Abstract: | newline |
Pagination: | xv, 132 |
URI: | http://hdl.handle.net/10603/566679 |
Appears in Departments: | School of Computer and System Science |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title page.pdf | Attached File | 320.97 kB | Adobe PDF | View/Open |
02_preliminary pages.pdf | 783.54 kB | Adobe PDF | View/Open | |
03_contents.pdf | 350.68 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 274.51 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 1.3 MB | Adobe PDF | View/Open | |
06_chapter2.pdf | 1.56 MB | Adobe PDF | View/Open | |
07_chapter3.pdf | 751.32 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 889.42 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 559.3 kB | Adobe PDF | View/Open | |
10_chapter6.pdf | 1.84 MB | Adobe PDF | View/Open | |
11_references.pdf | 411.76 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 675.67 kB | Adobe PDF | View/Open |
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