Prediction of thyroid Disease Using Data Mining Techniques

Abstract

Classification based Data mining plays important role in various healthcare services. In healthcare field, the important and challenging task is to diagnose health conditions and proper treatment of disease at the early stage. There are various diseases that can be diagnosed early and can be treated at the early stage. As for example, Thyroid diseases. the traditional ways of diagnosing thyroid diseases depends on clinical examination and many blood tests. The Main task is to detect disease diagnosis at the early stages with higher accuracy. Data mining techniques plays an important role in healthcare field for making decision, disease diagnosis and providing better treatment for the patients at low cost. Thyroid disease Classification is an important task. The purpose of this study is predication of thyroid disease using different classification techniques and also to find the TSH, T3,T4 correlation towards hyperthyroidism and hyporthyroidism and also to finding the TSH, T3,T4 correlation with gender towards hyperthyroidism and hyporthyroidism.