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

C R Biol. 2002 Apr;325(4):375-82. doi: 10.1016/s1631-0691(02)01434-8.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Data Collection / methods*
  • Data Interpretation, Statistical
  • Database Management Systems
  • Databases, Factual
  • Electromyography / methods*
  • Humans
  • Neurologic Examination