A Prediction System for Diagnosis of Diabetes Mellitus

Abstract

The growth of Science is a priceless asset to the human and society. The plethora of high-end machines has made life a sophistication which in turn is paid back as health issues. The health care data are complex and large. This heterogeneous data are used to diagnose patient’s diseases. It is better to predict the diseases at an earlier stage that can save the life and also have an upper hand in controlling the diseases. Data mining approaches are very useful in analyzing the complex, heterogeneous and large data set. The mining algorithms extract the essential data set from the raw data. This paper presents a survey on the various data mining algorithms used in predicting a very common disease in day a today life “Diabetics Mellitus.” Over 246 million people in the world are diabetic with a majority of them being women. The WHO reports that by 2025 this number is expected to rise to over 380 million.