Objective Hepatitis is one of the chronic diseases that can lead to liver cirrhosis and
hepatocellular carcinoma, which cause deaths around the world. Hence, early diagnosis is …

Recently, the techniques of data mining are broadly used to analyze biomedical data. These
techniques have given efficient results in the prediction and classification of diseases …

Hepatitis C is a liver disease caused by the hepatitis C virus (HCV). In 2015, WHO reports
that 71 million people were living with HCV, and 1.34 million died. In 2017, 13.1 million …

In this paper, the target is to detect hepatitis according to symptoms, mode of transmission
and relevant tests. Hepatitis is not only the diseases of liver but also infect other sites of the …

Owing to the great advantages various organizations are using data mining technology.
Healthcare is a vital part for everyone. Different new technologies are inventing to examine …

Hepatitis is a dangerous disease because it is a contagious disease and it is not easy to
diagnose the disease early. Due to the difficulty of making an early diagnosis, the disease …

In this study, some machine learning classification techniques are applied on Hepatitis data
set acquired from UCI Machine Learning Repository. Naïve Bayes Classifier, Logistic …

The objective of this work is to accurately predict the severity of the Hepatitis C virus using
various Machine Learning (ML) algorithms. This study is developed using thirteen different …

In the current era of wide use of internet by the users across the globe, the data generated
and its security both are the important issues. Hence, in any network to prevent the malicious …

Artificial Immune Recognition System is a widely used bio-inspired algorithm that describes
the recognition tasks of antigen by memory cells. Despite the success of the Artificial …