DocumentCode
2749517
Title
Knowledge discovery in medical databases based on rough sets and attribute-oriented generalization
Author
Tsumoto, Shusaku
Author_Institution
Tokyo Med. & Dental Univ., Japan
Volume
2
fYear
1998
fDate
4-9 May 1998
Firstpage
1296
Abstract
This paper presents a knowledge discovery system based on rough sets and attribute-oriented generalization and its application to medicine. Diagnostic rules and information on attributes are extracted from clinical databases on diseases of congenital anomaly. The induced results show that this method extracts experts´ knowledge correctly and it also discovers that symptoms observed in six positions (eyes, noses, ears, lips, fingers and feet) play important roles in differential diagnosis
Keywords
diagnostic expert systems; fuzzy set theory; generalisation (artificial intelligence); knowledge acquisition; medical diagnostic computing; attribute-oriented generalization; data mining; diagnostic rules; differential diagnosis; knowledge acquisition; knowledge discovery system; medical databases; rough sets; Data mining; Databases; Diseases; Ear; Eyes; Fingers; Lips; Medical diagnostic imaging; Nose; Rough sets;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location
Anchorage, AK
ISSN
1098-7584
Print_ISBN
0-7803-4863-X
Type
conf
DOI
10.1109/FUZZY.1998.686306
Filename
686306
Link To Document