ISSN:
1573-7497
Keywords:
expert systems
;
fuzzy logic
;
hybrid systems
;
medical diagnosis
;
neural networks
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
Notes:
Abstract By combining methods from artificial intelligence and signal analysis, we have developed a hybrid system for medical diagnosis. The core of the system is a fuzzy expert system with a dual source knowledge base. Two sets of rules are acquired, automatically from given examples and indirectly formulated by the physician. A fuzzy neural network serves to learn from sample data and allows to extract fuzzy rules for the knowledge base. A complex signal transformation preprocesses the digital data a priori to the symbolic representation. Results demonstrate the high accuracy of the system in the field of diagnosing electroencephalograms where it outperforms the visual diagnosis by a human expert for some phenomena.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1008217621798
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