Ambiente interativo de aprendizagem para o apoio ao estudante no diagnóstico de paciente de acidente vascular cerebral

Abstract

This paper aims to provide an Interactive Learning Environment using the computer to support aid in the diagnosis and treatment of patients with neurological disorders. The study proposes an architecture which facilitates the activities of students in the health area, in decision making, for the advice of physiotherapy for stroke patients. It was used the approach of Case-Based Reasoning (CBR) that has, like general idea, the use of past experiences to the solution of new problems. This work focused on the stages of indexing, representation and retrieval of cases, with the use of metrics, similar characteristics as the Count Features and Tversky s Contrast Model. A prototype was built for the validation of these metrics, proving the efficiency in the recovery of the cases on the basis of cases