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Analysis of medical jargon: The RECIT system

  • A. -M. Rassinoux
  • C. Juge
  • P. -A. Michel
  • R. H. Baud
  • D. Lemaitre
  • F. -C. Jean
  • P. Degoulet
  • J. -R. Scherrer
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 934)

Abstract

Medical language constitutes a large subset of human language. However, it presents special features which have to be taken into consideration for natural language analysis. We have observed that natural language texts dealing with a specific medical area (especially discharge summaries and reports) share a common vocabulary and common habits of word usage. Facing these specificities, we describe in this paper an original system called RECIT, designed for medical text analysis and understanding. In particular, we discuss the principles which guide the analysis of medical jargon using semantic considerations, coupled with syntactic information when needed. As a result of the flexibility of the system, a medical application developed in the context of the AIM project HELIOS-2 is presented.

Keywords

Conceptual Schema Syntactic Category Medical Domain Medical Text Conceptual Graph 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • A. -M. Rassinoux
    • 1
  • C. Juge
    • 1
  • P. -A. Michel
    • 1
  • R. H. Baud
    • 1
  • D. Lemaitre
    • 2
  • F. -C. Jean
    • 2
  • P. Degoulet
    • 2
  • J. -R. Scherrer
    • 1
  1. 1.Medical Informatics CentreGeneva University HospitalGeneva 14Switzerland
  2. 2.Medical Informatics DepartmentBroussais University HospitalParisFrance

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