A Cooperative Approach to the Development of Expert Knowledge Bases Applied to Define Standard of Care in Glaucoma
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.
KeywordsExpert Opinion Fuzzy Measure Cooperative Approach Consensus Analyzer Expert Interaction
Unable to display preview. Download preview PDF.
- 1.Ocular Surgery News. April 1, 3 Targets, total glaucoma management (2002)Google Scholar
- 2.American Academy of Ophthalmology, the Eye MD Association, Preferred practice pattern. Primary open-angle glaucoma (February 2000)Google Scholar
- 3.Ulieru, M., Crichton, A.C.S., Rizzi, M., Karanicolas, C.: A Fuzzy Model for Glaucoma Follow-Up. International Journal of Soft Computing: A Fusion of Foundations, Methodologies and Applications (2003) (Springer) ISSN 1432-7643 (accepted)Google Scholar
- 4.Ulieru, M., Grabelkovsky, A.: Telehealth Approach to Glaucoma Progression Monitoring. International Journal of Information Theories and Applications 10(3) (2003) ISSN 1310-0513, (in press)Google Scholar
- 5.Ulieru, M.: Internet-Enabled Soft Computing Holarchies for e-Health Applications. In: Zadeh, L.A., Nikravesh, M. (eds.) New Directions in Enhancing the Power of the Internet, p. 35. Springer, Berlin (2003) (in print)Google Scholar
- 6.Ulieru, M., Geras, A.: Emergent Holarchies for e-Health Applications – A Case in Glaucoma Diagnosis. In: Proceedings of IECON 2002 – 28th Annual Conference of the IEEE Industrial Electronics Society, Seville, Spain, November 5-8, pp. 2957–2962 (2002) ISBN 0-7803-7475-4, (proceedings on CD-Rom, IEEE Catalog Number 02CH37363.)Google Scholar
- 7.Varachiu, N., Karanicolas, C., Ulieru, M.: Computational Intelligence for Medical Knowledge Acquisition with Application to Glaucoma. In: Proceedings of the First IEEE Conference on Cognitive Informatics (ICCI 2002), Calgary, Canada, August 17-19, pp. 233–238 (2002); IEEE Computer Society Order Number PR01724, ISBN 0-7695-1724-2, Library of Congress # 2002107061Google Scholar
- 8.Ulieru, M., Pogrzeba, G.: Integrated Soft Computing Methodology for Diagnosis and Prediction with Application to Glaucoma Risk Evaluation. In: Proceedings of 6th IASTED International Conference on Artificial Intelligence and Soft Computing, July 17-19, Banff, Canada, pp. 275–280 (2002) ISBN: 0-88986-346-6Google Scholar
- 9.Principe, J.C., Euliano, N.R., Lefebvre, W.K.: Neural and adaptive systems. Fundamentals through simulations, John Wiley and sons, Chichester (2000)Google Scholar
- 11.Fries, T.P.: Consensus development in fuzzy intelligent agents for decision making. In: Proceedings of SSGRR 2001, International Conference on Advances in Infrastructure for Electronic Business, Science, and Education on the Internet, L’Aquila, Italy, August 6-12 (2001) ISBN:88-85280-61-7Google Scholar