
Prediction and Diagnosis of Dravet Syndrome Data Set for Myoclone Disease
Author(s) -
C. Radha*,
K. Ramesh Kumar
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c6715.098319
Subject(s) - dravet syndrome , data set , set (abstract data type) , disease , neurology , medicine , computer science , data mining , artificial intelligence , epilepsy , pathology , psychiatry , programming language
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.