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

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ID: 51970
2002
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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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Authors Balter, Julien;Labarre-Vila, Annick;Ziébelin, Danielle;Garbay, Catherine;
Journal comptes rendus biologies
Year 2002
DOI
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Keywords
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