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A hybrid approach of fuzzy logic and machine learning technique for the prediction of parkinson disease
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| dc.contributor.author | Poongodai, A. | |
| dc.date.accessioned | 2022-06-27T11:17:09Z | |
| dc.date.available | 2022-06-27T11:17:09Z | |
| dc.date.issued | 2017 | |
| dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3415 | |
| dc.description | xii, 111p. | en_US |
| dc.description.abstract | Engineering and Technology Computer Science neurological disorder UPDRS | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science, Pondicherry University | en_US |
| dc.subject | Fuzzy Expert System | en_US |
| dc.subject | Fuzzy Rule Mining | en_US |
| dc.subject | Information Systems Parkinson s disease | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | A hybrid approach of fuzzy logic and machine learning technique for the prediction of parkinson disease | en_US |
| dc.type | Thesis | en_US |
| dc.contributor.guide | Bhuvaneswari, S. | en_US |
| dc.refno | T7034 | en_US |
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Theses [50]