Development of Java based graphical user interface for Diagnosis of Hepatitis UsingI Mixture of Expert

摘要: Hepatitis is deadly, and the fifth leading cause of death after heart disease, stroke, chest disease cancer. Worldwide, 1.5 million deaths per year have been estimated. Detection hepatitis a big problem for general practitioners. An expert doctor commonly makes decisions by evaluating current test results patient or comparing with others same condition reference to previous decisions. Many machine learning data mining techniques designed automatic diagnosis hepatitis. However, no one tool available population Hepatitis. Hence, graphical user interface-enabled needs be developed, through which medical practitioners can feed easily find diagnoses instantly accurately.Methods: In this study dataset was taken from UCI repository database total 20 attributes two classes, Affected Not Affected.Results Conclusion: The models generated mixture experts as classification method Very good accuracy has observed in models. Finally, model having least minimum square error selected. This then linked GUI design tools prediction.