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In the current age research in the field of medical science has been increased to a significant height but there are several new virus which cannot be detect by the usual medical test , for example some common disease like malaria ,dengue, hepatitis , jaundice needs of very meticulous medical analysis because all the above said dieses has very common symptoms which needs of strong analysis to determine the exact dieses. Maximum number of medical test which are conducted to determine the dieses mostly based upon doctor’s guess which are not only expensive and but also give inaccurate pathological result. In this paper we emphasized more on symptom rather than pathological test .From the large domain we consider the disease hepatitis for our purpose .Every year millions of people died from hepatitis due to improper diagnosis .We develop an algorithm using rough set concept to counter hepatitis. We classified the entire paper in to three basic section 1 section about literature review the 2 and 3 section deals with the Experiment, Findings, and Statistical Validation.

Rough Set Approach for Generation of Classification Rules for Hepatitis