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A Cooperative Approach to the Development of Expert Knowledge Bases Applied to Define Standard of Care in Glaucoma

  • Mihaela Ulieru
  • Marcelo Rizzi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2888)

Abstract

In this paper we introduce a methodology for knowledge base creation based on the reconciliation of multiple expert opinions using a fuzzy measure for consensus evaluation determined based on soft competitive learning. Real-life application of our methodology to the establishment of the standard of care in glaucoma monitoring illustrates its practical power. Based on a comparative analysis of expert patterns for glaucoma follow-up and treatment we extract a core rule set on which the experts agree. This exchange of information is supported by an advanced Cyberinfrastructure which enables fast transfer of information (highly accurate image transfer and display from the most complex and sophisticated ophthalmic machines, patient charts, etc.) to enable exchange of expert opinions.

Keywords

Expert Opinion Fuzzy Measure Cooperative Approach Consensus Analyzer Expert Interaction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Mihaela Ulieru
    • 1
  • Marcelo Rizzi
    • 1
  1. 1.Emergent Information Systems Laboratory, Electrical and Computer Engineering DepartmentThe University of CalgaryCalgary, AlbertaCanada

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