NEURAL EXPERT-SYSTEM USING FUZZY TEACHING INPUT AND ITS APPLICATION TO MEDICAL DIAGNOSIS

被引:17
作者
HAYASHI, Y
机构
[1] Department of Computer and Information Sciences, Ibaraki University, Hitachi-shi, Ibaraki
来源
INFORMATION SCIENCES-APPLICATIONS | 1994年 / 1卷 / 01期
关键词
Expert systems;
D O I
10.1016/1069-0115(94)90019-1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:47 / 58
页数:12
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