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Natural language processing in medicine: an overview

P Spyns1

  • 1Division of Medical Informatics, State University Gent, Belgium. Peter.Spyns@rug.ac.be

Methods of Information in Medicine
|December 1, 1996
PubMed
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This study reviews natural language processing (NLP) applications in medicine, detailing key international projects and their outcomes. It also discusses Dutch language projects and fundamental medical language understanding approaches.

Area of Science:

  • Medical Informatics
  • Computational Linguistics

Background:

  • Natural Language Processing (NLP) is increasingly vital in medicine.
  • Understanding and processing clinical text is a significant challenge.

Purpose of the Study:

  • To provide an overview of NLP applications in the medical domain.
  • To summarize key international and Dutch language-specific projects.
  • To discuss fundamental approaches to medical language understanding.

Main Methods:

  • Literature review and synthesis of existing projects.
  • Categorization of projects by goals, principles, methods, and results.
  • Comparative discussion of medical language understanding strategies.

Main Results:

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  • Enumeration of significant international NLP projects in medicine.
  • Summary of project objectives, methodologies, and findings.
  • Dedicated section on Dutch language NLP initiatives in healthcare.

Conclusions:

  • NLP offers diverse applications and significant potential in medicine.
  • Understanding different approaches to medical language processing is crucial.
  • An extensive bibliography is provided for further research.