A GA Driven Intelligent System for Medical Diagnosis

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.

[1]  Georgios Dounias,et al.  Evolving rule-based systems in two medical domains using genetic programming , 2004, Artif. Intell. Medicine.

[2]  Francisco Herrera,et al.  Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base , 2001, IEEE Trans. Fuzzy Syst..

[3]  Joachim Diederich,et al.  Survey and critique of techniques for extracting rules from trained artificial neural networks , 1995, Knowl. Based Syst..

[4]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .

[5]  J. Michel.  Massachusetts Institute of Technology, USA , 2006, 2006 Asian Optical Fiber Communication & Optoelectronic Exposition & Conference.

[6]  David Martin,et al.  Book review: The Engineering of Knowledge-based Systems Theory and Practice by Avelino J. Gonzales and Douglas D. Dankel (Prentice Hall, 1993) , 1993, SGAR.

[7]  S A Markou,et al.  A comparative, crossover study of the efficacy and safety of sildenafil and apomorphine in men with evidence of arteriogenic erectile dysfunction , 2004, International Journal of Impotence Research.

[8]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[9]  Avelino J. Gonzalez,et al.  The engineering of knowledge-based systems: theory and practice , 1993 .

[10]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 2000, Springer Berlin Heidelberg.

[11]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .