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

页码：47 / 58

页数：12