Prediction and Diagnosis of Dravet Syndrome Data Set for Myoclone Disease
C.Radha1, K. Ramesh Kumar2

1C.Radha, Research scholar, Mass College of Arts & Science, Kumbakonam-612 501.
2Dr. K. Ramesh Kumar, Assistant Professor, Dept. of Computer Science, Mass College of Arts & Science, Kumbakonam-612 501.

Manuscript received on 11 August 2019. | Revised Manuscript received on 17 August 2019. | Manuscript published on 30 September 2019. | PP: 7289-7291 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6715098319/2019©BEIESP | DOI: 10.35940/ijrte.C6715.098319
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Abstract: This article presents the detailed introduction on the dravet syndrome data set which has been collected from various medical organizations. The data set has various informations about the patients and it has been framed with different attribute. The myoclone disease has been identified in various patients of different geographic locations in different age groups. It occurs with the patients with various neurology conditions according to different other factors. We display the list of parameters like Prediction Accuracy, False Prediction Ratio and Rule Generation Efficiency and features considered.
Keyword: Dravet Syndrome, Data Set, Myoclone Disease

Scope of the Article:
Regression and Prediction