Classification of Hepatitis C Virus Using Case-Based Reasoning (CBR) with Correlation Lift Metric

Hepatitis is a widespread and one of the most dangerous liver diseases, affecting millions of people around the globe. Hepatitis C virus (HCV) may be present in many other body parts; however, its primary target is the liver. In this paper, a diagnosis system based on Case-Based Reasoning (CBR) with correlation lift metric for hepatitis C virus (HCV) is presented. Data mining is an extremely useful technique that can play an important role in the push towards healthcare reform. The proposed algorithm gives an efficient and precautionary way to predict the presence of hepatitis C virus which helps immensely in early diagnosis of the infection.