title: Medical applications of enhanced rule-based expert systems.
abstract: 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.
authors.affiliation: The Gerstner Laboratory, Czech Technical University in Prague, Technická 2, 166 27 Prague 6, Czech Republic. lhotska@feld.cvut.cz
authors.forename: L
authors.initials: L
authors.lastname: Lhotska
authors.forename: V
authors.initials: V
authors.lastname: Marik
authors.forename: T
authors.initials: T
authors.lastname: Vlcek
mesh_terms: D002965:Classification; D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005103:Expert Systems; D006801:Humans; D016571:Neural Networks, Computer