A GA driven intelligent system for medical diagnosis

Authors:
Grigorios Beligiannis;Ioannis Hatzilygeroudis;Constantinos Koutsojannis;Jim Prentzas
Affiliations:
Department of Computer Engineering & Informatics, University of Patras, Patras, Greece;Department of Computer Engineering & Informatics, University of Patras, Patras, Greece;Department of Computer Engineering & Informatics, University of Patras, Patras, Greece;Department of Computer Engineering & Informatics, University of Patras, Patras, Greece
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2006

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Abstract

Manipulation of Male sexual dysfunction (or Impotence) that concerns 10% of the male population requires expertise and great experience. Different diagnostic approaches according to medical as well as to psychosocial and cultural characteristics of patients are usually followed. In this paper, a GA (genetic algorithm) driven intelligent system (GADIS) for diagnosis of male impotence is presented. The rule-base of GADIS has been constructed by using a genetic algorithm for rule extraction from a patients database. Experimental results show a very good diagnostic performance in terms of accuracy, sensitivity and specificity of the intelligent system. The rule-base can be refined each time the patient database is updated over a limit.