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TitleA Gr\"obner bases-based rule based expert system for fibromyalgia diagnosis.
Author(s) Jose M. Gomez-Argüelles, Antonio Hernando, Luis M. Laita, Josefina Piury, Francisco-Javier Piury-Alonso, Eugenio Roanes-Lozano
TypeArticle in Journal
AbstractIn this paper, we present an Expert System dealing with the diagnosis of fibromyalgia. Being fibromyalgia a very hard illness to diagnose, we think that our system may be useful for non-specialists (like family doctors) or specialists that would like to compare their own diagnoses with the one provided by our system. Our system has the peculiarity of being based on a previous mathematical result which lets us transform the problem of diagnosing this illness into an algebraic problem. Consequently our system is implemented in a computer algebra system. In this paper, we will describe the components of our system: a “Knowledge Base” based on studies on medicine and the knowledge of experts on fibromyalgia; an “Inference Engine” responsible of the knowledge extraction and consistency checking; and a “Graphic User’s Interface” which lets users operate with our system.
KeywordsMedical diagnosis, Rule based expert systems, Boolean logic, Groebner bases, Fibromyalgia
ISSN1578-7303; 1579-1505/e
URL http://link.springer.com/article/10.1007%2Fs13398-012-0064-8
LanguageEnglish
JournalRev. R. Acad. Cienc. Exactas F
Volume106
Number1
Pages443--456
PublisherSpringer, Milan; Real Academia de Ciencias Exactas, F
Year2012
Edition0
Translation No
Refereed No
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