Title :
Designing breast cancer diagnostic systems via a hybrid fuzzy-genetic methodology
Author :
C.A. Pena-Reyes;M. Sipper
Author_Institution :
Lab. of Logic Syst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland
Abstract :
The automatic diagnosis of breast cancer is an important, real-world medical problem. In the paper we focus on the Wisconsin breast cancer diagnosis (WBCD) problem, combining two methodologies-fuzzy systems and evolutionary algorithms-so as to automatically produce diagnostic systems. We find that our fuzzy-genetic approach produces systems exhibiting the highest classification performance shown to date, and which are also (human-)interpretable.
Keywords :
"Breast cancer","Fuzzy systems","Evolutionary computation","Fuzzy logic","Medical diagnostic imaging","Biological system modeling","Medical tests","Automatic logic units","Laboratories","Genetic algorithms"
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE ´99. 1999 IEEE International
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793220