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dc.contributor.authorQi, Junen
dc.contributor.authorChen, Limingen
dc.contributor.authorLeister, Wolfgangen
dc.date.accessioned2017-03-21T10:03:08Z
dc.date.available2017-03-21T10:03:08Z
dc.date.issued2016-07-21
dc.identifier.citationQi, J., Chen, L. and Leister, W. (2016) Towards Knowledge Driven Decision Support for Personalized Home-based Self-management of Chronic Diseases. Proceeding of UIC-ATC-ScalCom-CBDCom-IoP 2015, pp.1724-1729en
dc.identifier.isbn9781467372121
dc.identifier.urihttp://hdl.handle.net/2086/13767
dc.description.abstractThe use of ICT technologies to facilitate self-management for patients with chronic diseases attracts increasing attention in smart healthcare. Existing research has mainly focused on sensing and data processing technologies with little work on decision support mechanisms and systems. In this paper, we propose a home-based decision support system based on a wide range of assessment metrics from medical assessment, social and psychological evaluation to behaviour analysis to help self-manage rehabilitation and wellbeing in a personalized manner for different patients. This paper develops semantic models for describing patients, their conditions, medical and behavioural assessments and inference mechanisms for decision recommendations. The research is undertaken in the context of mobile user self-management for Spondyloarthritis (SpA) patients. A case scenario is used to demonstrate the application of the proposed approach, technologies and principles.en
dc.publisherIEEEen
dc.subjectSpondyloarthritisen
dc.subjectontologyen
dc.subjectdecision supporten
dc.subjectSWRL inferenceen
dc.subjectpatient self-managementen
dc.titleTowards Knowledge Driven Decision Support for Personalized Home-based Self-management of Chronic Diseasesen
dc.typeBook chapteren
dc.identifier.doihttps://doi.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP.2015.313
dc.peerreviewedYesen
dc.funderN/Aen
dc.projectidN/Aen
dc.cclicenceN/Aen
dc.date.acceptance2016-04-21en
dc.researchinstituteCyber Technology Institute (CTI)en


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