A hybrid expert system for the diagnosis of epileptic crisis

Authors:
Lourdes Mattos Brasil;Fernando Mendes De Azevedo;Jorge Muniz Barreto
Affiliations:
Department of Electrical Engineering, Biomedical Engineering Laboratory (GPEB), Federal University of Santa Catarina, Florianópolis 88040-900, Brazil;Department of Electrical Engineering, Biomedical Engineering Laboratory (GPEB), Federal University of Santa Catarina, Florianópolis 88040-900, Brazil;Department of Informatics and Statistics, Federal University of Santa Catarina, Florianópolis 88040-900, Brazil
Venue:
Artificial Intelligence in Medicine
Year:
2001

Citing 1
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Abstract

This work presents a hybrid expert system (HES) intended to minimise some complex problems pervasive to knowledge engineering such as: the knowledge elicitation process, known as the bottleneck of expert systems; the choice of a model for knowledge representation to codify human reasoning; the number of neurons in the hidden layer and the topology used in the connectionist approach; the difficulty to extract an explanation from the network. Two algorithms applied to developing of HES are also suggested. One of them is used to train the fuzzy neural network and the other to obtain explanations on how the fuzzy neural network attained a conclusion. A case study is presented (e.g. epileptic crisis) with the inclusion of problem definition and simulations. The results are also discussed.