Diagnosis of the diseases - using a GA-fuzzy approach

被引：13

作者：

Roychowdhury, A ^{[1
]}

Pratihar, DK ^{[1
]}

Bose, N ^{[1
]}

Sankaranarayanan, KP ^{[1
]}

Sudhahar, N ^{[1
]}

机构：

[1] Reg Engn Coll, Dept Mech Engn, Robot & A1 Lab, Durgapur 713209, India

来源：

INFORMATION SCIENCES | 2004年 / 162卷 / 02期

关键词：

diagnosis; jaundice; pneumonia; GA-fuzzy approach;

D O I：

10.1016/j.ins.2004.03.004

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The objective of our study is to design an expert system by modelling the knowledge and thinking process of a doctor. A fuzzy logic controller (FLC) is used to model the process and a genetic algorithm (GA) helps to select a number of good rules from a manually constructed large rule base of an FLC, based on the opinion of 10 doctors. The GA-based tuning is done off-line. Once the optimized rule base of the FLC is obtained, it can diagnose the disease, on-line. The scope of the present work has been extended to two diseases, namely Pneumonia and Jaundice. The symptoms of each disease are fed as inputs to the FLC and the output, i.e., grade of a disease is determined. (C) 2004 Elsevier Inc. All rights reserved.

引用

页码：105 / 120

页数：16

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