Title :
Discovery of rules for medical expert systems-rough set approach
Author :
Tsumoto, Shusaku
Author_Institution :
Dept. of Med. Inf., Shimane Med. Univ., Japan
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;
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
DOI :
10.1109/ICCIMA.1999.798531
