Liver Tissue Based Disease Detection Using Pre-Processing and Feature Extraction Techniques

Abstract

Liver disorder diseases one of the major diseases in the world, Liver is one of huge solid organs in human body; and is also considered a gland because, among its many functions, it makes and secretes bile. Liver is the second largest organ of human body. The diseases caused in liver are not detected and predicted at the earlier stage. So, this research gives the novel predictive analysis method for earlier liver disease prediction as application of data mining techniques. In this paper we have given the preprocessing and feature extraction techniques of liver tissues at the earlier symptoms of alcoholic liver disease (ALD). The novel method used for the early detection of hepatitis C in liver tissue. Initially on basis on the amount of white blood cells (WBC) in blood the liver dataset has been preprocessed using adaptive histogram discretization. After the preprocessing, liver tissue has to be extracted using Kernelized independent component analysis (KICA) that has maximum amount of WBC.