A Cooperative Approach to the Development of Expert Knowledge Bases Applied to Define Standard of Care in Glaucoma
Identifieur interne : 001190 ( Main/Exploration ); précédent : 001189; suivant : 001191A Cooperative Approach to the Development of Expert Knowledge Bases Applied to Define Standard of Care in Glaucoma
Auteurs : Mihaela Ulieru [Canada] ; Marcelo Rizzi [Canada]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2003.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Intelligence artificielle.
English descriptors
- KwdEn :
Abstract
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.
Url:
DOI: 10.1007/978-3-540-39964-3_16
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">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.</div>
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