Medical applications of enhanced rule-based expert systems
Language English Country Ireland Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
11518666
DOI
10.1016/s1386-5056(01)00172-1
PII: S1386-5056(01)00172-1
Knihovny.cz E-resources
- MeSH
- Diagnosis, Computer-Assisted methods MeSH
- Expert Systems * MeSH
- Classification MeSH
- Humans MeSH
- Decision Support Techniques * MeSH
- Neural Networks, Computer MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
The paper describes several types of efficiency enhancements of 'classical' rule-based diagnostic expert systems. The blackboard control structure enables to explore more knowledge bases of the same syntax in parallel, the taxonomy structures make fast zooming of attention possible and provide additional inference mechanism based on inheritance principles. The applicability of the enhancing techniques is documented by four case studies exploring the extended FEL-EXPERT shell in different tasks of medical decision-making. The authors consider the enhancing techniques as useful steps on the way from 'classical' diagnostic expert systems towards more complex multi-agent decision tools.
The Gerstner Laboratory Czech Technical University Prague Technická 2 166 27 Prague 6 Czech Republic
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