Discovery of rules for medical expert systems-rough set approach

Author

Tsumoto, Shusaku

Author_Institution

Dept. of Med. Inf., Shimane Med. Univ., Japan

fYear

1999

fDate

1999

Firstpage

212

Lastpage

216

Abstract

The paper presents a systematic approach from knowledge acquisition by using a rule induction method to construct a decision support systems as follows. First, a rule induction system based on a rough set model is introduced and is applied to a database for diagnosis of headaches to extract diagnostic rules. Then, by use of the induced knowledge, an expert system which makes a differential diagnosis of headaches is developed. Finally, this expert system is evaluated at an outpatient clinic, the results of which show that the system performance is reasonable, compared with a medical expert

Keywords

decision support systems; knowledge acquisition; medical diagnostic computing; medical expert systems; medical information systems; rough set theory; decision support systems; diagnostic rule extraction; differential diagnosis; headache diagnosis; induced knowledge; knowledge acquisition; medical expert systems; outpatient clinic; rough set approach; rough set model; rule discovery; rule induction method; rule induction system; systematic approach; Data mining; Databases; Diagnostic expert systems; Diseases; Knowledge acquisition; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Rough sets; Set theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Multimedia Applications, 1999. ICCIMA '99. Proceedings. Third International Conference on

Conference_Location

New Delhi

Print_ISBN

0-7695-0300-4

Type

conf

DOI

10.1109/ICCIMA.1999.798531

Filename

798531