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Conference on Artificial Intelligence in Medicine in Europe

AIME 1995: Artificial Intelligence in Medicine pp 276–281Cite as

Machine learning techniques applied to the diagnosis of acute abdominal pain

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 934))

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References

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Author information

Authors and Affiliations

  1. Theoretical Surgery Unit, Department of General and Trauma Surgery, Heinrich-Heine-University, Germany

    C. Ohmann, Q. Yang & K. Lang

  2. Institute of Computer Science, Foundation of Research and Technology, University of Crete, Greece

    V. Moustakis

  3. Stichting Deventer Ziekenhuizen, Deventer, Netherlands

    P. J. van Elk

Authors
  1. C. Ohmann
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  2. Q. Yang
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  3. V. Moustakis
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  4. K. Lang
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  5. P. J. van Elk
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Editor information

Pedro Barahona Mario Stefanelli Jeremy Wyatt

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© 1995 Springer-Verlag Berlin Heidelberg

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Ohmann, C., Yang, Q., Moustakis, V., Lang, K., van Elk, P.J. (1995). Machine learning techniques applied to the diagnosis of acute abdominal pain. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_144

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  • DOI: https://doi.org/10.1007/3-540-60025-6_144

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60025-1

  • Online ISBN: 978-3-540-49407-2

  • eBook Packages: Springer Book Archive

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