Hepatitis C virus' patients with genotypes 1 & 4 have break-even response rates to
Pegylated-Interferon (Peg-IFN) and Ribavirin (RBV) treatment. Furthermore, the …

This study included 2962 Egyptian patients with chronic hepatitis C virus (HCV) infection.
Different decision-tree models were used to explore baseline predictors of response to …

Hepatitis C is a primary reason for the liver cancer, which is a leading cause of death. The
objective of this paper is to predict the hepatitis C infection progression into cirrhosis or liver …

The main objective of this research project is develop an expert system module, based on a
back propagation feed forward artificial neural networks (ANNs), for the diagnosis of …

Interferon plus Ribavirin is the standard treatment for chronic hepatitis C is often
accompanied by adverse side effects and unfortunately fails in almost half of cases. The …

The healthcare industry collects a huge amount of data which is not properly mined and not
put to the optimum use. Discovery of these hidden patterns and relationships often goes …

Introduction: Interferon taken alone or in combination with ribavirin can be used for the
treatment of persons with chronic hepatitis C. It is highly desirable, both clinically and …

In chronic hepatitis C and B, which can progress to cirrhosis and liver cancer, Interferon is
the only effective treatment, for carefully selected patients, but it is very expensive. Some of …

Introduction Decision-tree analysis; a core component of data mining analysis can build
predictive models for the therapeutic outcome to antiviral therapy in chronic hepatitis C virus …

This study established a survival prediction model for liver cancer using data mining
technology. The data were collected from the cancer registration database of a medical …