Classification of Spinal Muscle Atrophy Disease using SVM in Machine Learning

Abstract

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.