A hybrid diagnosis model for determining the types of the liver disease

Authors:
Rong-Ho Lin;Chun-Ling Chuang
Affiliations:
Department of Industrial Engineering and Management, National Taipei University of Technology, No. 1, , Chung-Hsiao East Road, Taipei 10608, Taiwan, ROC;Department of Information Management, Kainan University, No. 1, Kainan Road, Luzhu, Taoyuan 33857, Taiwan, ROC
Venue:
Computers in Biology and Medicine
Year:
2010

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Abstract

The symptoms of liver diseases are not apparent in the initial stage, and the condition is usually quite serious when the symptoms are obvious enough. Most studies on liver disease diagnosis focus mainly on identifying the presence of liver disease in a patient. Not many diagnosis models have been developed to move beyond the detection of liver disease. The study accordingly aims to construct an intelligent liver diagnosis model which integrates artificial neural networks, analytic hierarchy process, and case-based reasoning methods to examine if patients suffer from liver disease and to determine the types of the liver disease.