Biochemical Markers of Fibrosis for Chronic Liver Disease: Data mining-based Approach

Abstract

Staging of liver fibrosis has important implications for disease prognosis and treatment decisions. Knowing the degree of a disease allows a physician to provide specific treatment to the patient leading to better care. The use of serum markers becomes important to predict liver fibrosis. The objective of this work is to build a classification model in the form of a tree structure to predict liver fibrosis stage in patients with chronic hepatitis C genotype 4 in Egypt. In addition, to evaluate whether laboratory examinations can be used to determine the rate of liver fibrosis progression in patients chronically infected with hepatitis C virus (HCV). This paper focuses on the FibroTest which used to stage liver fibrosis to compare the results of the non-invasive markers using histology as reference method, and tried to determine if they could also be used in Egyptian patients.