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An Ontology-Driven Personalization Framework for Designing Theory-Driven Self-management Interventions

  • Conference paper
Process Support and Knowledge Representation in Health Care (ProHealth 2013, KR4HC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8268))

Abstract

We present a patient-centered self-management framework that aims to assist individuals to achieve self-efficacy in terms of self-management of their chronic condition. We have incorporated an evidence-driven behavior model—i.e. the Social Cognition Theory (SCT)—to personalize the self-management educational content based on the individual’s health and psychosocial profile. We have taken a knowledge management approach to the development of the self-management framework where we have modeled the SCT, educational content and strategies, assessment tools and the personalization logic using an OWL-DL based ontology. The execution of the knowledge encapsulated within the SCT ontology allows for the dynamic generation of a patient’s profile and the selection of the relevant self-management strategies, educational and motivational messages. We applied our self-management framework to develop a self-management program for cardiac conditions.

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Author information

Authors and Affiliations

  1. NICHE Research Lab, Faculty of Computer Science, Dalhousie University, Canada

    Syed Sibte Raza Abidi & Samina Abidi

  2. Medical Informatics, Faculty of Medicine, Dalhousie University, Canada

    Samina Abidi

Authors
  1. Syed Sibte Raza Abidi
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  2. Samina Abidi
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Editor information

Editors and Affiliations

  1. Dept. d’Enginyeria Informàtica i Matimàtiques, Research Group on Artificial Intelligence, Universitat Rovira i Virgili, Av. Països Catalans 26, 43007, Tarragona, Spain

    David Riaño

  2. Department of Computer Science, University of Erlangen-Nuremberg, Martensstraße 3, 91058, Erlangen, Germany

    Richard Lenz

  3. Institute of Software Technology and Interactive Systems, Vienna University of Technology, Favoritenstrasse 9-11/188, 1040, Vienna, Austria

    Silvia Miksch

  4. Department of Information Systems, University of Haifa, Rabin Bldg., 31905, Haifa, Israel

    Mor Peleg

  5. Institute of Databases and Information Systems, Ulm University, James-Franck-Ring, 89069, Ulm, Germany

    Manfred Reichert

  6. Department of AI, Free University Amsterdam, De Boelelaan 1081A, 1081 HV, Amsterdam, The Netherlands

    Annette ten Teije

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© 2013 Springer-Verlag Berlin Heidelberg

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Abidi, S.S.R., Abidi, S. (2013). An Ontology-Driven Personalization Framework for Designing Theory-Driven Self-management Interventions. In: Riaño, D., Lenz, R., Miksch, S., Peleg, M., Reichert, M., ten Teije, A. (eds) Process Support and Knowledge Representation in Health Care. ProHealth KR4HC 2013 2013. Lecture Notes in Computer Science(), vol 8268. Springer, Cham. https://doi.org/10.1007/978-3-319-03916-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-03916-9_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03915-2

  • Online ISBN: 978-3-319-03916-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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