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

  • Syed Sibte Raza Abidi
  • Samina Abidi
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Domain Expert Social Cognitive Theory Health Profile Behavior Profile Personalization Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Syed Sibte Raza Abidi
    • 1
  • Samina Abidi
    • 1
    • 2
  1. 1.NICHE Research Lab, Faculty of Computer ScienceDalhousie UniversityCanada
  2. 2.Medical Informatics, Faculty of MedicineDalhousie UniversityCanada

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