A platform integrating knowledge and data management for EMG studies

Abstract

A multi-agent framework for data mining in EMG is presented. This application based on a Web interface provides a set of functionnalities allowing to manipulate one thousand medical cases and more than twenty five thousands neurological tests stored in a medical database. The aim is to extract medical informations using data mining algorithms and to supply a knowledge base with pertinent information. The multi-agent platform gives the possibility to distribute the data management process between several autonomous entities. This framework provides a parallel and flexible data manipulation.