Accuracy in data classification depends on the dataset used for learning. Now-a-days the
most important cause of death for both men and women is due to the Liver Problem. The …

The human liver is one of the major organs in the body and liver disease can cause many
problems in human life. Fast and accurate prediction of liver disease allows early and …

Classification techniques have been widely used in the medical field for accurate
classification than an individual classifier. This paper presents computational intelligence …

Background: Diagnosing different types of liver diseases clinically is a quite hectic process
because patients have to undergo large numbers of independent laboratory tests. On the …

Purpose This study proposes to identify potential liver patients based on the results of a liver
function test performed during a health screening to search for signs of liver disease. It is …

Data Mining is one of the most critical aspects of automated disease diagnosis and disease
prediction. It involves data mining algorithms and techniques to analyze medical data. In …

Abstract Machine learning technique is widely used in various fields of science and
technology. They have been giving out meaningful and classified information this tool also …

This paper conducts a correlation review of classification algorithm using some free
available data mining and knowledge discovery tools such as WEKA, Rapid miner, Tanagra …

In recent years in healthcare sectors, data mining became an ease of use for disease
prediction. Data mining is the process of dredge up information from the massive datasets or …

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 …