A health social network recommender system

Song, Insu, Dillon, Denise, Goh, Tze Jui, and Sung, Min (2011) A health social network recommender system. Lecture Notes in Computer Science, 7047. pp. 361-372.

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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.

Item ID: 21613
Item Type: Article (Refereed Research - C1)
Keywords: social networking, health social network, health informatics, recommender system
Additional Information:

Also available in: Agents in Principle, Agents in Practice. 14th International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2011), 16-18 November 2011, Wollongong, NSW, Australia.

ISSN: 1611-3349
Date Deposited: 17 May 2012 04:59
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080107 Natural Language Processing @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890205 Information Processing Services (incl. Data Entry and Capture) @ 100%
Citation Count from Web of Science Web of Science 2
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