A knowledge-driven agent-centred framework for data mining in EMG.

A knowledge-driven agent-centred framework for data mining in EMG.

Balter, Julien;Labarre-Vila, Annick;Ziébelin, Danielle;Garbay, Catherine;
comptes rendus biologies 2002 Vol. 325 pp. 375-82
264
balter2002acomptes

Abstract

In this paper, we present a multi-agent framework for data mining in electromyography. This application, based on a web interface, provides a set of functionalities allowing to manipulate 1000 medical cases and more than 25,000 neurological tests stored in a medical database. The aim is to extract medical information 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.

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