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PubMed · 12161917

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

Julien Balter·Annick Labarre-Vila·Danielle Ziébelin·Catherine Garbay
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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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Data CollectionData Interpretation, StatisticalDatabase Management SystemsDatabases, FactualElectromyographyHumansNeurologic ExaminationJournal ArticleResearch Support, Non-U.S. Gov't

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Julien Balter, Annick Labarre-Vila, Danielle Ziébelin, Catherine Garbay. 2002. A knowledge-driven agent-centred framework for data mining in EMG.. https://doi.org/10.1016/s1631-0691(02)01434-8

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