A probabilistic interpretation of the medical expert system CADIAG-2

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 statemen...

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Vydané v:Soft computing (Berlin, Germany) Ročník 15; číslo 10; s. 2013 - 2020
Hlavný autor: Picado Muiño, David
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Berlin/Heidelberg Springer-Verlag 01.10.2011
Springer Nature B.V
Predmet:
Adequacy
Artificial Intelligence
Computational Intelligence
Control
Engineering
Expert systems
Fuzzy logic
Fuzzy set theory
Fuzzy sets
Knowledge
Knowledge bases (artificial intelligence)
Logic
Mathematical Logic and Foundations
Mechatronics
Original Paper
Pancreatic cancer
Probabilistic inference
Probability
Robotics
Set theory
Fuzzy expert systems
Rule-based expert systems
Knowledge-based systems
Probabilistic inference
CADIAG-2
ISSN:1432-7643, 1433-7479
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Shrnutí: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.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-011-0699-y