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Rule Based Expert Systems in Gynecology: Statistical versus Heuristic Approach

  • Conference paper
AIME 87

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 33))

  • 35 Accesses

Abstract

Any area of medicine, in which the number of answers to a particular question — e.g. the number of possible diagnoses — is limited, and in which it is possible to structure the line of reasoning is well suited for the use of computer assisted medical decision making (Reggia and Thurim, 1985).

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References

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Author information

Authors and Affiliations

  1. 2nd Department of Obstetrics and Gynecology, University Hospital, Spitalgasse 23, A-1090, Vienna, Austria

    P. A. Riss, H. Koelbl, A. Reinthaller & J. Deutinger

Authors
  1. P. A. Riss
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  2. H. Koelbl
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  3. A. Reinthaller
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  4. J. Deutinger
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Editor information

Editors and Affiliations

  1. Biomedical Computing Unit, Imperial Cancer Research Fund Laboratories, Lincoln’s Inn Field, WC2A 3PX, London, UK

    John Fox

  2. Laboratoire d’Informatique Médical de la Faculté de Médecine, Université de Marseille, Boulevard Jean Moulin 27, 13385, Marseille Cédex 5, France

    Marius Fieschi

  3. MEDIS-Institut, Gesellschaft für Strahlen- und Umweltforschung mbH München, Ingolstädter Landstraße 1, 8042, Neuherberg, Federal Republic of Germany

    Rolf Engelbrecht

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© 1987 Springer-Verlag Berlin Heidelberg

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Riss, P.A., Koelbl, H., Reinthaller, A., Deutinger, J. (1987). Rule Based Expert Systems in Gynecology: Statistical versus Heuristic Approach. In: Fox, J., Fieschi, M., Engelbrecht, R. (eds) AIME 87. Lecture Notes in Medical Informatics, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-95549-5_17

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  • DOI: https://doi.org/10.1007/978-3-642-95549-5_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18402-7

  • Online ISBN: 978-3-642-95549-5

  • eBook Packages: Springer Book Archive

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