Optimized Techniques To Determine The Efficiency Of Chronic Kidney Disease Diagnosis Using Data Mining Based On Artificial Neural Networks
| dc.contributor.guide | k Nirmala | |
| dc.coverage.spatial | ||
| dc.creator.researcher | Shakira Fathima H | |
| dc.date.accessioned | 2021-10-25T04:31:48Z | |
| dc.date.available | 2021-10-25T04:31:48Z | |
| dc.date.awarded | ||
| dc.date.completed | 2020 | |
| dc.date.registered | ||
| dc.description.abstract | newlineOptimized Techniques To Determine The Efficiency Of Chronic Kidney Disease Diagnosis Using Data Mining Based On Artificial Neural Networks | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | DVD | |
| dc.format.dimensions | ||
| dc.format.extent | ||
| dc.identifier.uri | http://hdl.handle.net/10603/345351 | |
| dc.language | English | |
| dc.publisher.institution | Department of Computer Science | |
| dc.publisher.place | Chennai | |
| dc.publisher.university | University of Madras | |
| dc.relation | ||
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Engineering and Technology | |
| dc.subject.keyword | Computer Science | |
| dc.subject.keyword | Computer Science Artificial Intelligence | |
| dc.title | Optimized Techniques To Determine The Efficiency Of Chronic Kidney Disease Diagnosis Using Data Mining Based On Artificial Neural Networks | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
Files
Original bundle
1 - 5 of 14
Loading...
- Name:
- 10. chapter 7.pdf
- Size:
- 927.76 KB
- Format:
- Adobe Portable Document Format
- Description:
- Attached File
License bundle
1 - 1 of 1