Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/216399
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2018-09-24T06:36:25Z | - |
dc.date.available | 2018-09-24T06:36:25Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/216399 | - |
dc.description.abstract | newline | |
dc.format.extent | I-XII,1-113 | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | A Study on the Enhancement of Predictions in Clinical Decision Support Systems using Computational Intelligence | |
dc.title.alternative | ||
dc.creator.researcher | Thendral.P | |
dc.subject.keyword | Clinical Decision Support System | |
dc.subject.keyword | Data mining | |
dc.subject.keyword | Disease staging prediction, | |
dc.subject.keyword | Machine learning | |
dc.description.note | ||
dc.contributor.guide | Madhu Viswanatham .V | |
dc.publisher.place | Vellore | |
dc.publisher.university | VIT University | |
dc.publisher.institution | School of Computing Science and Engineering | |
dc.date.registered | 12/01/2011 | |
dc.date.completed | 2018 | |
dc.date.awarded | 10/08/2018 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | School of Computing Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 74.62 kB | Adobe PDF | View/Open |
02_certificate, abstract.pdf | 214.64 kB | Adobe PDF | View/Open | |
03_preliminary pages.pdf | 669.54 kB | Adobe PDF | View/Open | |
04_chapter 1.pdf | 5.76 MB | Adobe PDF | View/Open | |
05_chapter 2.pdf | 4.37 MB | Adobe PDF | View/Open | |
06_chapter 3.pdf | 3.42 MB | Adobe PDF | View/Open | |
07_chapter 4.pdf | 2.39 MB | Adobe PDF | View/Open | |
08_chapter 5.pdf | 2.32 MB | Adobe PDF | View/Open | |
09_chapter 6.pdf | 848.48 kB | Adobe PDF | View/Open | |
10_references, list of publications.pdf | 564.1 kB | Adobe PDF | View/Open |
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