• K Akshay Reddy
• G Karthika

Hepatitis, being a widespread and one of the most dangerous liver diseases, is affecting millions of people around the globe. Although, Hepatitis C virus (HCV) may be present in many other body parts, the target is liver. An effective diagnosis system based on Case-Based Reasoning (CBR) with hyper-lift metric for hepatitis C virus (HCV) is presented here. Data mining which is an efficient technique can play an important role in healthcare reform. Using the proposed algorithm, the presence of hepatitis C virus can be predicted in an efficient and precautionary way which helps immensely in early diagnosis of the infection.

Hepatitis, Case-Based Reasoning, Data mining.

"Case-Based Reasoning with Hyper Lift for Classification of Hepatitis C Virus", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.543-547, April-2019, Available :http://www.jetir.org/papers/JETIR1904H89.pdf

"Case-Based Reasoning with Hyper Lift for Classification of Hepatitis C Virus", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp543-547, April-2019, Available at : http://www.jetir.org/papers/JETIR1904H89.pdf