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Argumentation-Based Explanations of Multimorbidity Treatment Plans

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PRIMA 2020: Principles and Practice of Multi-Agent Systems (PRIMA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12568))

Abstract

We present an argumentation model to explain the optimal treatment plans recommended by a Satisfiability Modulo Theories solver for multimorbid patients. The resulting framework can be queried to obtain supporting reasons for nodes on a path following a model of argumentation schemes. The modelling approach is generic and can be used for justifying similar sequences.

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Notes

  1. 1.

    For details see https://www.nice.org.uk.

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Author information

Authors and Affiliations

  1. IIIA-CSIC, 08193, Barcelona, Spain

    Qurat-ul-ain Shaheen

  2. Computer Science, University of St Andrews, St Andrews, KY16 9SX, UK

    Alice Toniolo & Juliana K. F. Bowles

Authors
  1. Qurat-ul-ain Shaheen
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  2. Alice Toniolo
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  3. Juliana K. F. Bowles
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Corresponding author

Correspondence to Qurat-ul-ain Shaheen .

Editor information

Editors and Affiliations

  1. Nagoya Institute of Technology, Nagoya, Japan

    Takahiro Uchiya

  2. University of Tasmania, Tasmania, TAS, Australia

    Quan Bai

  3. University of Alcalá, Alcala de Henares, Spain

    Iván Marsá Maestre

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Shaheen, Qua., Toniolo, A., Bowles, J.K.F. (2021). Argumentation-Based Explanations of Multimorbidity Treatment Plans. In: Uchiya, T., Bai, Q., Marsá Maestre, I. (eds) PRIMA 2020: Principles and Practice of Multi-Agent Systems. PRIMA 2020. Lecture Notes in Computer Science(), vol 12568. Springer, Cham. https://doi.org/10.1007/978-3-030-69322-0_29

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  • DOI: https://doi.org/10.1007/978-3-030-69322-0_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-69321-3

  • Online ISBN: 978-3-030-69322-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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