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Medical planning environment

  • Temporal Reasoning and Planning
  • Conference paper
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Book cover Artificial Intelligence in Medicine (AIME 1997)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1211))

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Abstract

To help the novice practitioners and cope with the complexity of the EMG test procedure elaboration, we developped MYOSYS, an hierarchical planning environment. Building an EMG knowledge base consists in formalizing and structuring medical concepts and actions. The knowledge modeling to be done concerns tasks i.e. possible problems, methods corresponding to elementary part of resolution and medical entities. All are represented under object form structured in separate class hierarchies and are accessible for the user. At each step of the resolution process an adequate placement of the instance in the corresponding class hierarchy has to by found, depending on the input/output entities of the task and on its strategy. The identification of this placement can be supported by classification and plan recognition techniques.

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Bibliography

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Elpida Keravnou Catherine Garbay Robert Baud Jeremy Wyatt

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© 1997 Springer-Verlag Berlin Heidelberg

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Ziébelin, D., Vila, A. (1997). Medical planning environment. In: Keravnou, E., Garbay, C., Baud, R., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1997. Lecture Notes in Computer Science, vol 1211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029467

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  • DOI: https://doi.org/10.1007/BFb0029467

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62709-8

  • Online ISBN: 978-3-540-68448-0

  • eBook Packages: Springer Book Archive

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