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Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans

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Book cover Artificial Intelligence in Medicine (AIME 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2101))

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Abstract

We describe the generation of partial solutions to Prolog queries posed during the design of medical treatment plans. Given a set of Prolog encoded safety principles, the queries request advise on plan revisions to conform with safety requirements. The user unfolds queries interactively, navigating a path through the solution search space by interacting with natural language representations of the Prolog terms. In this way, both symbolic and natural language representations of partial solutions can be generated. The former can be included in the plan, and the latter exported to a protocol document describing the plan. Hence, useful and informative partial solutions are still obtained despite incom- pleteness of the underlying knowledge base, which ordinarily would mean failure of a query. Furthermore, the user can avoid being overwhelmed by surplus solutions, and unfold to levels of detail suitable for different plans and their accompanying protocols.

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Author information

Authors and Affiliations

  1. Biomedical Informatics Unit, Eastman Dental Institute, University College London, UK

    S. Modgil & P. Hammond

Authors
  1. S. Modgil
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  2. P. Hammond
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Pavia, Via Ferrata, 1, 27100, Pavia, Italy

    Silvana Quaglini

  2. Departamento de Informática Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2825-114, Caparica, Portugal

    Pedro Barahona

  3. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajersv ej 7D, 9220, AlborgØst, Denmark

    Steen Andreassen

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© 2001 Springer-Verlag Berlin Heidelberg

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Modgil, S., Hammond, P. (2001). Generating Symbolic and Natural Language Partial Solutions for Inclusion in Medical Plans. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_35

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  • DOI: https://doi.org/10.1007/3-540-48229-6_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42294-5

  • Online ISBN: 978-3-540-48229-1

  • eBook Packages: Springer Book Archive

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