Abstract.In this paper, a new classification approach combining support vector machine with scatter
search approach for hepatitis disease diagnosis is presented, called 3SVM. The scatter search approach
is used to find near optimal values of SVM parameters and its kernel parameters. The hepatitis dataset
is obtained from UCI. Experimental results and comparisons prove that the 3SVM gives better
outcomes and has a competitive performance relative to other published methods found in literature,
where the average accuracy rate obtained is 98.75%.