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Categorization of Metabolic Syndrome x Among Adults using Learning Techniques
Abstract
Diabetes mellitus (DM) is a set of related diseases in which the body cannot regulate the amount of sugar in the blood sugar, either because the body does not produce enough insulin, or because the cells do not respond to the insulin that is produced. MSX is characterized by chronic hyperglycemia associated with disturbances of carbohydrate, fat, and protein metabolism due to absolute or relative deficiency in insulin secretion and/or action. It is also known as Metabolic Cum Vascular disorder. It causes long term damage, dysfunction and failure of various organs such as eyes, kidneys, nerves, heart and blood vessels. The Metabolic Syndrome x mainly affects the adult. A new methodology is used to find the stages of metabolic syndrome x using Multilayer perceptron (MLP)and EM Clustering [1] [2]. The symptoms and stages of Metabolic syndrome x are classified by using predictive modeling.In Multilayer perceptron technique, data objects are categorized based on the stages of metabolic syndrome x and find out their efficiency and accuracy. It categorizes the data such as IDDM, NIDDM. It helps us to know the various stages of metabolic syndrome x and to predict the recommend preclusion to patients those who are affected by metabolic syndrome x and provide suggestions to that patient
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