Abstract

The application of smart programs and services in the medical field is nowadays a reality that guarantees patients a quality healthcare. In the present article, it is proposed the development of a Clinical Decision Support System CDSS in order to diagnose a set of fuzzy diseases.This concept refers to the that are not diagnosable through a concrete clinical test or symptom. Then, the diagnosis of a fuzzy diseases set is based in the exclusion of symptoms and tests results, due to the similarity between them. For dealing with these inconveniences, in this paper it has been designed a reasoning method which uses mainly a theory about the conceptual categorization from the Psychology fieldi¾?[1, 2] and the prototypes concept of Zadeh [3]. Through the use of this model, it was obtained a satisfactory result in the evaluation of patients.

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