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.
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Balter, J., Labarre-Vila, A., Ziébelin, D., Garbay, C. (2001). A Platform Integrating Knowledge and Data Management for EMG Studies. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_57
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DOI: https://doi.org/10.1007/3-540-48229-6_57
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