Title :
Detecting possibility of complications of diseases using rough set based granulation
Author :
Tsumoto, Shusaku
Author_Institution :
Dept. of Med. Inf., Shimane Med. Univ., Izumo City, Japan
Abstract :
One of the most important problems with medical expert systems is that they cannot make a differential diagnosis with complicated cases. This paper reviews reasoning about complications from the viewpoint of information granulation and proposes an approach to extracting rules for diagnosis of complications from clinical datasets. The illustrative example show that rough set based granular computing gives a nice framework to detect the complications.
Keywords :
diagnostic expert systems; diagnostic reasoning; diseases; patient diagnosis; rough set theory; clinical datasets; differential diagnosis; disease complications; information granulation; medical expert systems; probabilistic rules; reasoning; rough set based granulation; Adaptive systems; Biomedical informatics; Cities and towns; Data mining; Databases; Decision support systems; Diseases; Information systems; Medical diagnostic imaging; Rough sets;
Conference_Titel :
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN :
0-7803-7918-7
DOI :
10.1109/NAFIPS.2003.1226794
