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Towards an argumentation system for supporting patients in self-managing their chronic conditions

  • Nadin Kökciyan
  • , Isabel Sassoon
  • , Anthony P. Young
  • , Martin Chapman
  • , Talya Porat
  • , Mark Ashworth
  • , Vasa Curcin
  • , Sanjay Modgil
  • , Simon Parsons
  • , Elizabeth Sklar

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

CONSULT is a decision-support framework designed to help patients self-manage chronic conditions and adhere to agreed-upon treatment plans, in collaboration with healthcare professionals. The approach taken employs computational argumentation, a logic-based methodology that provides a formal means for reasoning with evidence by substantiating claims for and against particular conclusions. This paper outlines the architecture of CONSULT, illustrating how facts are gathered about the patient and various preferences of the patient and the clinician(s) involved. A logic-based representation of official treatment guidelines by various public health agencies is presented. Logical arguments are constructed from these facts and guidelines; these arguments are analysed to resolve inconsistencies concerning various treatment options and patient/clinician preferences. The claims of the justified arguments are the decisions recommended by CONSULT. A clinical example is presented which illustrates the use of CONSULT within the context of blood pressure management for secondary stroke prevention.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General Computer Science

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