Document Detail

Development and evaluation of fuzzy criteria for the diagnosis of rheumatoid arthritis.
MedLine Citation:
PMID:  9019097     Owner:  NLM     Status:  MEDLINE    
In 1987, the American Rheumatism Association issued a set of criteria for the classification of rheumatoid arthritis (RA) to provide a uniform definition of RA patients. Fuzzy set theory and fuzzy logic were used to transform this set of criteria into a diagnostic tool that offers diagnoses at different levels of confidence: a definite level, which was consistent with the original criteria definition, as well as several possible and superdefinite levels. Two fuzzy models and a reference model which provided results at a definite level only were applied to 292 clinical cases from a hospital for rheumatic diseases. At the definite level, all models yielded a sensitivity rate of 72.6% and a specificity rate of 87.0%. Sensitivity and specificity rates at the possible levels ranged from 73.3% to 85.6% and from 83.6% to 87.0%. At the superdefinite levels, sensitivity rates ranged from 39.0% to 63.7% and specificity rates from 90.4% to 95.2%. Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.
H Leitich; K P Adlassnig; G Kolarz
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Methods of information in medicine     Volume:  35     ISSN:  0026-1270     ISO Abbreviation:  Methods Inf Med     Publication Date:  1996 Dec 
Date Detail:
Created Date:  1997-03-28     Completed Date:  1997-03-28     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0210453     Medline TA:  Methods Inf Med     Country:  GERMANY    
Other Details:
Languages:  eng     Pagination:  334-42     Citation Subset:  IM    
Department of Medical Computer Sciences, University of Vienna, Austria.
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MeSH Terms
Arthritis, Rheumatoid / classification,  diagnosis*
Diagnosis, Computer-Assisted*
Expert Systems*
Fuzzy Logic*
Models, Theoretical
Reproducibility of Results
Software Design

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

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