Fuzzy cognitive map architectures for medical decision support systems

  • Authors:

  • Chrysostomos D. Stylios;Voula C. Georgopoulos;Georgia A. Malandraki;Spyridoula Chouliara

  • Affiliations:

  • Department of Informatics and Communications Technology, TEI of Epirus,47100 Artas, Epirus, Greece;Department of Speech and Language Therapy, TEI of Patras, 26334 Patras, Greece;Department of Speech and Hearing Science, University of Illinois at Urbana-Champaign, IL 61820, USA;Obstetrics and Gynecology Clinic, Filellhnwn & Kosma Aitwlou, 47100 Artas, Greece

  • Venue:
  • Applied Soft Computing
  • Year:
  • 2008

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Abstract

Medical decision support systems can provide assistance in crucial clinical judgments, particularly for inexperienced medical professionals. Fuzzy cognitive maps (FCMs) is a soft computing technique for modeling complex systems, which follows an approach similar to human reasoning and the human decision-making process. FCMs can successfully represent knowledge and human experience, introducing concepts to represent the essential elements and the cause and effect relationships among the concepts to model the behavior of any system. Medical decision systems are complex systems that can be decomposed to non-related and related subsystems and elements, where many factors have to be taken into consideration that may be complementary, contradictory, and competitive; these factors influence each other and determine the overall clinical decision with a different degree. Thus, FCMs are suitable for medical decision support systems and appropriate FCM architectures are proposed and developed as well as the corresponding examples from two medical disciplines, i.e. speech and language pathology and obstetrics, are described.