Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/577029
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2024-07-15T12:21:21Z | - |
dc.date.available | 2024-07-15T12:21:21Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/577029 | - |
dc.description.abstract | Included | |
dc.format.extent | ||
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Efficient prediction model for chronic kidney disease diagnosis using machine learning techniques | |
dc.title.alternative | ||
dc.creator.researcher | Vineeta | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Machine learning | |
dc.description.note | Bibliography p. 133-152, List of Publications p. xviii-xviii | |
dc.contributor.guide | Raheja, Neeraj | |
dc.publisher.place | Mullana- Ambala | |
dc.publisher.university | Maharishi Markandeshwar University, Mullana | |
dc.publisher.institution | Department of Computer Science and Engineering | |
dc.date.registered | 2019 | |
dc.date.completed | 2024 | |
dc.date.awarded | 2024 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 119.63 kB | Adobe PDF | View/Open |
02_prelim_pages.pdf | 235.84 kB | Adobe PDF | View/Open | |
03_contents.pdf | 445.52 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 211.15 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 1.42 MB | Adobe PDF | View/Open | |
06_chapter2.pdf | 538.54 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 809.65 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 1.87 MB | Adobe PDF | View/Open | |
09_chapter5.pdf | 1.91 MB | Adobe PDF | View/Open | |
10_chapter6.pdf | 664.83 kB | Adobe PDF | View/Open | |
11_conclusion.pdf | 213.39 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 526.12 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 926.88 kB | Adobe PDF | View/Open |
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