Neural expert system using fuzzy teaching input and its application to medical diagnosis

✍ Scribed by Yoichi Hayashi

• Publisher: Elsevier Science
• Year: 1994
• Tongue: English
• Weight: 542 KB
• Volume: 1
• Category: Article
• ISSN: 1069-0115
• DOI: 10.1016/1069-0115(94)90019-1

✦ Synopsis

This paper first proposes a fuzzy neural network and the learning method using fuzzy teaching input. As an application, a fuzzy neural expert system (FNES) for diagnosing hepatobiliary disorders has been developed. We used a real medical database containing the results of nine biochemical tests of four hepatobiliary disorders. After learning by using training data (373 patients), the proposed system correctly diagnosed 77.3% of test (external) data from 163 previously unseen patients and correctly diagnosed 100% of the training data. Conversely, the diagnostic accuracy of the linear discriminant analysis was 63.2% of the test data and 67.0% of the training data.