Document Detail


Medical applications of enhanced rule-based expert systems.
MedLine Citation:
PMID:  11518666     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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:
L Lhotska; V Marik; T Vlcek
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  International journal of medical informatics     Volume:  63     ISSN:  1386-5056     ISO Abbreviation:  Int J Med Inform     Publication Date:  2001 Sep 
Date Detail:
Created Date:  2001-08-23     Completed Date:  2001-11-01     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  9711057     Medline TA:  Int J Med Inform     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  61-75     Citation Subset:  IM    
Affiliation:
The Gerstner Laboratory, Czech Technical University in Prague, Technická 2, 166 27 Prague 6, Czech Republic. lhotska@feld.cvut.cz
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MeSH Terms
Descriptor/Qualifier:
Classification
Decision Support Techniques*
Diagnosis, Computer-Assisted / methods*
Expert Systems*
Humans
Neural Networks (Computer)

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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