A probabilistic interpretation of the medical expert system CADIAG-2

Authors:
David Picado Muiño
Affiliations:
Institut für Diskrete Mathematik und Geometrie, 8 Wiedner Hauptstrasse, 1040, Vienna, Austria
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Intelligent Systems, Design and Applications (ISDA 2009)
Year:
2011

Citing 0
Cited 2

Measuring and repairing inconsistency in knowledge bases with graded truth

Fuzzy Sets and Systems
Formal approaches to rule-based systems in medicine: The case of CADIAG-2

International Journal of Approximate Reasoning

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Abstract

CADIAG-2 is a well-known expert system aimed at providing support for medical diagnose in the field of internal medicine. CADIAG-2 consists of a knowledge base in the form of a set of IF-THEN rules that relate distinct medical entities, in this paper interpreted as conditional probabilistic statements, and an inference engine constructed upon methods of fuzzy set theory. The aim underlying this paper is the understanding of the logical structure of the inference in CADIAG-2. To that purpose, we provide a (probabilistic) logical formalisation of the inference of the system and check its adequacy with probabilistic logic.