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Contributions to Automated Indexing Based on SNOMED

  • Friedrich Wingert
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 25)

Abstract

This paper is concerned with problems and algorithms of indexing medical language data against a medical nomenclature. The algorithms are mostly independent of the special nomenclature used. As a concrete target language, SNOMED [l] has been selected because it is the most comprehensive medical nomenclature available.

Keywords

Indexing Procedure Cross Reference Word Part Automate Indexing Syntactic Level 
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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Literature

  1. 1.
    WINGERT F (edt.): SNOMED. Systematisierte Nomenklatur der Medizinb Berlin, Heidelberg, New York, Tokyo: Springer 1984Google Scholar
  2. 2.
    WINGERT F: Reduction of Redundancy in a Categorized Nomenclature In: Proc. Intern. Working Conference, WG6, Ottawa, September 26./28., 1984Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1985

Authors and Affiliations

  • Friedrich Wingert
    • 1
  1. 1.Institut für Medizinische Informatik und BiomathematikUniversität MünsterGermany

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