A Grobner bases-based rule based expert system for fibromyalgia diagnosis

作者：Piury Josefina; Laita Luis M; Roanes Lozano Eugenio^*; Hernando Antonio; Piury Alonso Francisco Javier; Gomez Arguelles Jose M; Laita Laura

来源：Revista de la Real Academia de Ciencias Exactas Fisicas y Naturales Serie A-Matematicas, 2012, 106(2): 443-456.

DOI：10.1007/s13398-012-0064-8

• Medical diagnosis
• Rule based expert systems
• Boolean logic
• Groebner bases
• Fibromyalgia

In 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 %26quot;Knowledge Base%26quot; based on studies on medicine and the knowledge of experts on fibromyalgia; an %26quot;Inference Engine%26quot; responsible of the knowledge extraction and consistency checking; and a %26quot;Graphic User%26apos;s Interface%26quot; which lets users operate with our system.

• 出版日期2012-9