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Journal ArticleDOI

On the applicability of diagnostic criteria for the diagnosis of rheumatoid arthritis in an expert system

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TLDR
Cadiag -2/ Rheuma is a medical expert system developed to assist in the differential diagnosis of rheumatic diseases designed to contain simple finding/disease relationships as well as diagnostic rules of high complexity to confirm or hypothesize disease.
Abstract
Cadiag -2/ Rheuma is a medical expert system developed to assist in the differential diagnosis of rheumatic diseases. Based on fuzzy set theory and fuzzy logic, it supports the formalization of vague and uncertain medical information (i.e., medical entities and relationships between them) and draws justifiable conclusions from these imprecise data. Given a patient's finding patter, Cadiag -2 provides confirmed and excluded diagnoses, diagnostic hypotheses, and suggestions for further examinations. The knowledge base of Cadiag -2 has been designed to contain simple finding/disease relationships as well as diagnostic rules of high complexity to confirm or hypothesize disease. We shall present results obtained with 300 clinical cases from a hospital for rheumatic diseases. Different rules for the diagnosis of rheumatoid arthritis based upon classification criteria issued by the American Rheumatism Association were tested against each other. That diagnostic rule which had shown the best results was then further improved by a rheumatology expert, which finally yielded a sensitivity of 83.3% and a specificity of 95.3%.

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Proceedings Article

The paradoxical success of fuzzy logic

TL;DR: This work hopes to resolve paradoxes in fuzzy logic by identifying which aspects of fuzzy logic render it useful in practice, and which aspects are inessential.
Journal ArticleDOI

The paradoxical success of fuzzy logic

TL;DR: Fuzzy logic methods have been used successfully in many real-world applications, but the foundations of fuzzy logic remain under attack as mentioned in this paper, and almost all of the successful fuzzy logic applications are embedded controllers, while most of the theoretical papers on fuzzy methods deal with knowledge representation and reasoning.
Journal ArticleDOI

A prospective evaluation of the medical consultation system CADIAG-II/RHEUMA in a rheumatological outpatient clinic.

TL;DR: To evaluate the performance of CADIAG-II/RHEUMA as consultant in the primary evaluation of patients visiting a rheumatological outpatient clinic, a consultation was done for 54 patients and the list of generated diagnostic hypotheses was compared to each clinical discharge diagnosis.
Journal ArticleDOI

Development and evaluation of fuzzy criteria for the diagnosis of rheumatoid arthritis

TL;DR: Fuzzy techniques were helpful to add flexibility to preexisting diagnostic criteria in order to obtain diagnoses at the desired level of confidence.
Journal ArticleDOI

Evaluation of two different models of semi-automatic knowledge acquisition for the medical consultant system CADIAG-II/RHEUMA

TL;DR: This study sought to explore and cope with the variability of results that may be anticipated when performing knowledge acquisition with patient data from different patient settings, and eliminated differences in baseline frequencies of symptoms and diseases in the two study populations as the most important bias.
References
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Journal ArticleDOI

Therapeutic criteria in rheumatoid arthritis.

TL;DR: This report summarizes recommendations for uniform therapeutic criteria in rheumatoid arthritis and highlights the varied language used in the body and conclusions of articles on therapy which did not lend themselves to any accurate appraisal.
Journal ArticleDOI

Fuzzy Set Theory in Medical Diagnosis

TL;DR: Fuzzy set theory has a number of properties that make it suitable for formalizing the uncertain information upon which medical diagnosis and treatment is usually based, and trials performed with the medical expert system CADIAG-2 suggest that it might be a suitable basis for the development of a computerized diagnosis system.
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