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Semi-automated Classification of Medical Phrases, using a Personal Computer

  • Rudolf-Josef Fischer
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)

Abstract

In a basic documentation for the Childrens’ Hospital of the University of Münster medical phrases to be coded are mapped on a subset of items of a thesaurus. The most similar items are then presented to the encoding person to decide which item, if any, is semantically equivalent to the new medical phrase. New phrases lead to an insert of the new item and its code into the thesaurus. The mapping algorithm is based on formal criteria (common substrings), allowing spelling errors and various wordings. It is independent of the thesaurus and may thus be applied to other thesauri and code tables. The generation of needed help files is easy and fast to perform.

Keywords

Solution Concept Word Form Classification Code Common Substrings Spelling Error 
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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References

  1. Fischer, R.-J. (1980): Automatische Schreibfehlerkorrektur in Texten. Springer-Verlag, HeidelbergGoogle Scholar
  2. Graubner, B. (1988): Computerunterstützte Textstandardisierung in der medizinischen Basisdokumentation. In: Rienhoff, O., Piccolo, U., Schneider, B. (eds.): Expert Systems and Decision Support in Medicine, Springer-Verlag, Heidelberg, 435–442Google Scholar
  3. Hölzel, D., Schewe, S. (1977): Verschlüsselungsunterstützung und Auswertungsfunktionen zum Diagnoseschlüssel ICD/E. In: Wingert, F. (ed.): Klartext Verarbeitung, Springer-Verlag, Heidelberg, 80–94Google Scholar
  4. Immich, H. (1966): Klinischer Diagnosenschlüssel. Schattauer-Verlag, StuttgartGoogle Scholar
  5. Küsel, W., Ries, P., Wingert, F., Röttger, P., Westermann, H. (1975): Ein variables Auswertungsprogrammfür das Pathologie-Befund-System. In: Reichertz, P.L., Holthoff, G. (eds.): Methoden der Informatik in der Medizin. Springer-Verlag, Heidelberg, 206–215Google Scholar
  6. Schek, H.J. (1975): Tolerating Fuzzyness in Keywords by Similarity Searches. IBM Wissenschaftliches Zentrum, HeidelbergGoogle Scholar
  7. Wingert, F. (1986): An Indexing System for SNOMED. In: Methods of Information in Medicine 25, 22–30Google Scholar
  8. Wingert, F., Fischer, R.-J., Osada, N. (1986): Untersuchungen zur Verminderung des Aufwands bei automatischer Diagnoseverschlüsselung. In: Ehlers, C.TH., Beland, H. (eds.): Perspektiven in der Informationsverarbeitung in der Medizin. Springer-Verlag, Heidelberg, 232–235Google Scholar
  9. Wingert, F. (1989): Grundlagen der Indexierung medizinischer Diagnosen und Therapien. In: Wille, R. (ed.): Klassifikation und Ordnung, Indeks Verlag, Frankfurt, 165–178Google Scholar

Copyright information

© Springer-Verlag Berlin · Heidelberg 1991

Authors and Affiliations

  • Rudolf-Josef Fischer
    • 1
  1. 1.Institut für Medizinische Informatik und Biomathematikder Westfälischen Wilhelms-Universität MünsterMünsterGermany

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