Disease Prediction System by Minimizing Number of Attributes

In health industry, Data Mining provides numerous benefits such as detection of causes of diseases and identification of medical treatment methods. These help healthcare researchers for making efficient healthcare policies, drug recommendation systems, and developing health profiles of a person. The data generated by the health organizations is very huge and complex and also difficult to analyze. If this data is properly analyze important decision regarding patient health can be taken. This data contains details regarding hospitals, patients, medical claims, treatment cost etc. So, there is a need to develop powerful methods for analyzing and extracting important information from these complex data. In this paper proposed a new approach which predicts disease more accurately by using minimum number of responsible attribute. The proposed approach not only predicts the disease but classify into a particular class.