Open AccessClassification of Spinal Muscle Atrophy Disease using SVM in Machine Learning
Author(s) -
B. Ganga Bhavani,
G. L. N. V. S. Kumar,
M Rekha,
Bipin Kumar,
Rama Koti Reddy D. V
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2568.129219
Subject(s) - sma* , spinal muscular atrophy , swallowing , support vector machine , neuromuscular disease , medicine , disease , muscle weakness , weakness , physical medicine and rehabilitation , computer science , artificial intelligence , pathology , anatomy , radiology , algorithm
SMA is a genetic neuromuscular disease. It is a rare disease. It is caused by mutations in the survival motorneuron (SMN) gene that encodes SMN Protein. Maindifficult area of SMA is muscle weakness, causing withdifficulty with moving, swallowing or breathing. Thereare four types of SMA’s. The primary objective of thispaper is to classify the SMA’s by using support vectormachine classifier. Then we can easily predict the life span of the children based on the group of SMA. This disease is classified on the basis of age of onset and clinical course.