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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View at Publisher Website: http://dx.doi.org/10.1007/978-3-642-2504...
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 Type:||Article (Refereed Research - C1)|
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.
|Keywords:||social networking, health social network, health informatics, recommender system|
|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%|
|Deposited On:||17 May 2012 14:59|
|Last Modified:||23 May 2013 16:01|
Last 12 Months: 1
|Citation Counts with External Providers:||Web of Science: 0|
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