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Soft Computing

, Volume 8, Issue 10, pp 705–716 | Cite as

Using soft computing to define standards of care in glaucoma monitoring

  • M. Ulieru
  • A. C. S. Crichton
  • M. Rizzi
  • C. Karanicolas
Article
  • 56 Downloads

Abstract

A fuzzy knowledge base encapsulating core expert rules for glaucoma follow up is developed and subsequently refined into a standard of care by reconciling several expert opinions. The Learning from Examples (LFE) [1] technique is used in addition to expert interviews to generate fuzzy rules from numerical data, and soft competition defines a fuzzy consensus metrics for the expert opinions. Web-based extension of this system into a comprehensive set of e-Health services for the glaucoma community enables, besides wide accessibility of the expert knowledge, continuous improvement of the core rule set (standard of care) with the perspectives of several experts.

Keywords

Fuzzy knowledge base Soft competition Consensus analysis Standards of care Glaucoma e-Health 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • M. Ulieru
    • 1
  • A. C. S. Crichton
    • 2
  • M. Rizzi
    • 1
  • C. Karanicolas
    • 1
  1. 1.Emergent Information Systems Laboratory, Department of Electrical and Computer EngineeringThe University of Calgary, 2500 University Dr NWCalgaryCanada
  2. 2.Clinical Associate Professor, Faculty of Medicine Department of Surgery2500 University Dr NWCalgaryCanada

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