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GeRReT — Ein generisches Werkzeug zur Validierung von Regelbasen aus der medizinischen Diagnostik

  • Conference paper
GWAI-90 14th German Workshop on Artificial Intelligence

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 251))

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Zusammenfassung

In der vorliegenden Studie werden Module eines halbautomatischen Refinement-Werkzeugs vorgestellt, die aufgaben- und bereichsspezifische Charakteristika diagnostischen Urteilens in der Medizin berücksichtigen. Die Module erzeugen kognitiv unterschiedlich adäquate Formulierungsvarianten identischer Bereichsinformationen. Im zweiten Teil werden Ergebnisse einer empirischen Untersuchung der Leistungsfähigkeit von GeRReT berichtet. Nach einem dreifaktoriellen Design (Formulierungsvariante, Syndrom, Fehlerklasse) hatten 26 sachkundige Probanden Fehlerstellen in einer medizinischen Wissensbasis zu orten.

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Authors and Affiliations

  1. Institut für Psychologie, Universität Regensburg, 8400, Regensburg, Deutschland

    J. Krems & J. Zerban

Authors
  1. J. Krems
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  2. J. Zerban
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Editors and Affiliations

  1. >c/o Danet GmbH, Pallaswiesenstr. 203, D-6100, Darmstadt, Deutschland

    Heinz Marburger

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© 1990 Springer-Verlag Berlin Heidelberg

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Krems, J., Zerban, J. (1990). GeRReT — Ein generisches Werkzeug zur Validierung von Regelbasen aus der medizinischen Diagnostik. In: Marburger, H. (eds) GWAI-90 14th German Workshop on Artificial Intelligence. Informatik-Fachberichte, vol 251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76071-6_13

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  • DOI: https://doi.org/10.1007/978-3-642-76071-6_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-53132-6

  • Online ISBN: 978-3-642-76071-6

  • eBook Packages: Springer Book Archive

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