Title :
Knowledge discovery in medical databases based on rough sets and attribute-oriented generalization
Author :
Tsumoto, Shusaku
Author_Institution :
Tokyo Med. & Dental Univ., Japan
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;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.686306
