L’utilisation de service web et des r´eseaux de neurones pour le diagnostic m´edical `a distance

Abstract

The use of artificial intelligence and data analysis in the medical field is more and more frequent in order to minimize the error rate that can cause the death of the patient, ameliorate the quality and time of diagnosis, by using so-called intelligent techniques to help with medical diagnosis. This project is particularly interested in implementing a web application of medical diagnosis of type 2 diabetes in distance. We have suggested artificial neural network architecture adapted to the Pima diabetes database. We compared the results with other classification methods ; the results were satisfactory in terms of precision and classification time