Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
505482 | Computers in Biology and Medicine | 2010 | 6 Pages |
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.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Rong-Ho Lin, Chun-Ling Chuang,