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dc.contributor.authorHadzic, Maja
dc.contributor.authorChen, Meifania
dc.contributor.authorBrouwer, R.
dc.contributor.editorAmandeep Sidhu and Tharam Dillon
dc.date.accessioned2017-01-30T12:29:41Z
dc.date.available2017-01-30T12:29:41Z
dc.date.created2010-03-30T20:02:21Z
dc.date.issued2009
dc.identifier.citationHadzic, Maja and Chen, Meifania and Brouwer, Rick. 2009. Completing the total wellbeing puzzle using a multi-agent system, in Amandeep Sidhu and Tharam Dillon (ed), Biomedical data and applications. pp. 281-293. Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/22155
dc.identifier.doi10.1007/978-3-642-02193-0_12
dc.description.abstract

Our research focus is the implementation of agent-based systems within the health domain, more specifically, in the study of total wellbeing. We use an evidence-based total wellbeing ontological model where the total well-being is seen as a function of physical health, mental health, emotions, relation-ships, financial situation and spirituality. We use the TICSA methodology to design a multi-agent system. This multi-agent system is based on the Total Wellbeing Ontology and helps intelligent retrieval, management and analysis of information related to total wellbeing. We hope this system to expose evidence that will support general public in managing their personal wellbeing better, and health professionals in adapting their services to address patients needs more systematically and effectively.

dc.publisherSpringer
dc.subjectMulti-agent System Design
dc.subjectTotal Wellbeing
dc.subjecte-Health
dc.subjectOntology-based Multi-agent System
dc.subjectHealth Information System
dc.titleCompleting the total wellbeing puzzle using a multi-agent system
dc.typeBook Chapter
dcterms.source.startPage281
dcterms.source.endPage293
dcterms.source.titleBiomedical data and applications
dcterms.source.isbn9783642021923
dcterms.source.placeHeidelberg
dcterms.source.chapter14
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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