Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/442661
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Secure cloud assisted diabetes prediction using machine learning and deep learning approaches | |
dc.date.accessioned | 2023-01-11T12:01:58Z | - |
dc.date.available | 2023-01-11T12:01:58Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/442661 | - |
dc.format.extent | xv, 114p. | |
dc.language | English | |
dc.relation | p.108-113 | |
dc.rights | university | |
dc.title | Secure cloud assisted diabetes prediction using machine learning and deep learning approaches | |
dc.title.alternative | ||
dc.creator.researcher | Thenappan, S | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Engineering | |
dc.subject.keyword | Engineering Biomedical | |
dc.subject.keyword | Diabetes Mellitus | |
dc.subject.keyword | Chronic disease | |
dc.subject.keyword | Data mining | |
dc.description.note | ||
dc.contributor.guide | Velan Rajkumar, M | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 38.63 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.58 MB | Adobe PDF | View/Open | |
03_content.pdf | 155.84 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 114.74 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 531.37 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 524.12 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.52 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.35 MB | Adobe PDF | View/Open | |
09_annexures.pdf | 83.03 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 77.44 kB | Adobe PDF | View/Open |
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