Abstract
Cadiag-2/Rheuma is a medical expert system assisting in the differential diagnosis of rheumatic diseases. The aim of this study was to establish a set of criteria for diagnosing definite rheumatoid arthritis (RA) that provides optimal accuracy and to implement this set of criteria as an IF- THEN rule for application in Cadiag-2/RHEUMA. First, two different sets of criteria for the classification of definite RA described in medical literature were implemented and their respective diagnostic accuracies were evaluated with 154 patients suffering from RA and 154 control subjects. Second, that set of criteria which had performed best became the starting point for establishing an improved set of diagnostic criteria that eventually reached an accuracy of 88.7% (81.8% sensitivity and 95.5% specificity). This improvement was possible by combining literature definition of RA with specific clinical experience of a rheumatology expert.
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© 1991 Springer-Verlag Berlin Heidelberg
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Leitich, H., Adlassnig, KP., Kolarz, G. (1991). Knowledge Acquisition Study and Accuracy Rate Evaluation for CADIAG-2/Rheuma With 308 Clinical Cases. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_59
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DOI: https://doi.org/10.1007/978-3-642-93503-9_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-54392-3
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