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Multiparty Argumentation Game for Consensual Expansion Applied to Evidence Based Medicine

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Artificial Intelligence in Medicine (AIME 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7885))

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Abstract

Evidence based medicine (EBM) requires many different sources of knowledge when dealing with complex patients. Such a discipline inherently involves the issue of conflicts arising amongst arguments coming from different sources, such as guidelines, trials and clinical studies. In this paper we consider a set of agents with their own medical argumentation which exchange medical arguments to enrich their own knowledge and suggest a set of treatments resulting from the argumentation process.

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Author information

Authors and Affiliations

  1. Institute of Business Information Systems, University of Applied Sciences Western Switzerland, Switzerland

    Stefano Bromuri

  2. Laboratoire d’Informatique Fondamentale de Lille, Université Lille 1, France

    Maxime Morge

Authors
  1. Stefano Bromuri
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  2. Maxime Morge
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Editor information

Editors and Affiliations

  1. Academic Medical Center, Dept. of Medical Informatics, University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands

    Niels Peek

  2. Dept. of Information Egineering and Communications, University of Murcia, Campus de Espinardo, 30100, Espinardo, Murcia, Spain

    Roque Marín Morales

  3. Department of Information Systems, University of Haifa, Rabin Bldg, Haifa, Israel

    Mor Peleg

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© 2013 Springer-Verlag Berlin Heidelberg

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Bromuri, S., Morge, M. (2013). Multiparty Argumentation Game for Consensual Expansion Applied to Evidence Based Medicine. In: Peek, N., Marín Morales, R., Peleg, M. (eds) Artificial Intelligence in Medicine. AIME 2013. Lecture Notes in Computer Science(), vol 7885. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38326-7_6

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  • DOI: https://doi.org/10.1007/978-3-642-38326-7_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38325-0

  • Online ISBN: 978-3-642-38326-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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