Paper Details: Downloads: 501
Serial Number: P1120535134
Title: Expert System for Epilepsy with Uncertainty
Authors: Emmanuil Marakakis and Kostas Vassilakis and Emmanuil Kalivianakis and Sifis Micheloyiannis
Abstract: This paper presents an expert system which derives differential diagnosis about epilepsy cases in childhood, according to international classifications. This expert system is intended to be used as a consultation system by neurologists. The physician specialist can update the knowledge base of the system through a user friendly interface. Uncertainty is handled by using weights and certainty factors. Meta-rules drive the reasoning process of the system. The initial evaluation results of the system are very promising, i.e. 83.3% successful diagnosis.
Keywords: Expert systems, meta-rules, uncertainty, and epilepsy.
Journal/Conference: ICGST Conference on Artificial Intelligence and Machine Learning, AIML-05
Volume:
Issue:
Submission Date: 9/1/2005 12:00:00 AM
Review Date: 10/1/2005 12:00:00 AM
Publishing Date: 12/19/2005 12:00:00 AM
Article Downloads: 501
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