Analysis and Visualization of Metabolic Syndrome Trends Using SOM(<Special Issue>Contribution to 21 Century Intelligent Technologies and Bioinformatics)

Abstract

Recently metabolic syndrome has become a major concern to health. Many of the youth have fallen victim of these syndrome or related consequences. Self-organizing maps (SOM) can be viewed as a visualization tool that performs a sort of compromise between a high-dimensional dataset and a two-dimensional plane. This paper gives an overview, analysis and visualization of the syndrome using SOM with a view to understanding its trends and inter-relating other risk factors that have no relation with the syndrome yet having a very big contribution to the syndrome and hence overall health risk.