A Symbolic Computation-Based Expert System for Alzheimer’s Disease Diagnosis

Begoña Herrero, Luis M. Laita, Eugenio Roanes-Lozano, Víctor Maojo, Luis de Ledesma, José Crespo and Laura Laita

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Abstract

In this paper we summarize a method of construction of a rule-based expert system (denoted RBES) for Alzheimer’s disease diagnosis. Once the RBES is constructed, Symbolic Computation techniques are applied to automatically both verify (that is, check for consistency) and extract new knowledge to produce a diagnosis.

Keywords Rule-based expert systems - diagnosis of Alzheimer’s disease - ideal membership problem - Gröbner bases

Partially supported by projects TIC2000-1368-C03-01 and TIC2000-1368-C03-03 (Ministry of Science and Technology, Spain).

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A Symbolic Computation-Based Expert System for Alzheimer’s Disease Diagnosis

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