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

被引:13
作者
Piury, Josefina [2 ]
Laita, Luis M. [3 ]
Roanes-Lozano, Eugenio [1 ]
Hernando, Antonio [4 ]
Piury-Alonso, Francisco-Javier [5 ]
Gomez-Arguelles, Jose M. [6 ]
Laita, Laura
机构
[1] Univ Complutense Madrid, Depto Algebra, Madrid, Spain
[2] Ariba Iberia, Madrid, Spain
[3] Real Acad Ciencias Madrid, Madrid, Spain
[4] Univ Politecn Madrid, Dept Sistemas Inteligentes Aplicados, Madrid, Spain
[5] Hosp JM Pascual, Clin San Rafael, Cadiz, Spain
[6] Hosp Virgen de la Luz, Unidad Neurol, Cuenca, Spain
关键词
Medical diagnosis; Rule based expert systems; Boolean logic; Groebner bases; Fibromyalgia;
D O I
10.1007/s13398-012-0064-8
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
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 "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.
引用
收藏
页码:443 / 456
页数:14
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