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A Health Social Network Recommender System

  • Insu Song
  • Denise Dillon
  • Tze Jui Goh
  • Min Sung
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7047)

Abstract

People with chronic health conditions require support beyond normal health care systems. Social networking has shown great potential to provide the needed support. Because of the privacy and security issues of health information systems, it is often difficult to find patients who can support each other in the community. We propose a social-networking framework for patient care, in particular for parents of children with Autism Spectrum Disorders (ASD). In the framework, health service providers facilitate social links between parents using similarities of assessment reports without revealing sensitive information. A machine learning approach was developed to generate explanations of ASD assessments in order to assist clinicians in their assessment. The generated explanations are then used to measure similarities between assessments in order to recommend a community of related parents. For the first time, we report on the accuracy of social linking using an explanation-based similarity measure.

Keywords

Social networking health social network health informatics recommender system 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Insu Song
    • 1
  • Denise Dillon
    • 1
  • Tze Jui Goh
    • 2
  • Min Sung
    • 2
  1. 1.School of Business Information Technology, and PsychologyJames Cook UniversityAustralia
  2. 2.Institute of Mental Health (IMH)Singapore

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