DocumentCode
1978572
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
fYear
2003
fDate
24-26 July 2003
Firstpage
266
Lastpage
271
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN
0-7803-7918-7
Type
conf
DOI
10.1109/NAFIPS.2003.1226794
Filename
1226794
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