Title :
An improved fuzzy connectivity diagnosis method
Author :
Yakowenko, William J. ; Watanabe, Hiroyuki
Author_Institution :
Dept. of Comput. Sci., North Carolina Univ., Chapel Hill, NC, USA
Abstract :
The connectivity diagnosis method proposed by Norris et al (1987) produced disappointing results in our experiments. In exploring the reasons for this, we designed a new algorithm in the same spirit as the original, and which is both more intuitive and more effective. By making use of the frequency of occurrence of symptoms in the training set, the new algorithm is better at selecting representative syndromes, and can recognize more than one syndrome for each disease
Keywords :
fuzzy set theory; health care; medical diagnostic computing; patient diagnosis; disease; fuzzy connectivity diagnosis; patient diagnosis; representative syndrome recognition; symptom occurrence; Algorithm design and analysis; Computer science; Diseases; Frequency measurement; Fuzzy sets; Pattern recognition; Training data;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343523
