Abstract
We present in this paper a Rule-Based Knowledge System that both verifies the consistency of the knowledge explicitly provided by experts in mental retardation, and automatically extracts consequences (in this case: diagnoses) from that knowledge.
Expert knowledge is translated into symbolic expressions, which are written in CoCoA (a Computer Algebra language). The program, using a theory developed by this research team, outputs diagnoses from the different inputs that describe each patient.
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Sánchez-Morgado, R., Laita, L.M., Roanes-Lozano, E., de Ledesma, L., Laita, L. (2004). A Rule-Based Knowledge System for Diagnosis of Mental Retardation. In: Barreiro, J.M., Martín-Sánchez, F., Maojo, V., Sanz, F. (eds) Biological and Medical Data Analysis. ISBMDA 2004. Lecture Notes in Computer Science, vol 3337. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30547-7_8
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DOI: https://doi.org/10.1007/978-3-540-30547-7_8
Publisher Name: Springer, Berlin, Heidelberg
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