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    Completing the total wellbeing puzzle using a multi-agent system

    Access Status
    Fulltext not available
    Authors
    Hadzic, Maja
    Chen, Meifania
    Brouwer, R.
    Date
    2009
    Type
    Book Chapter
    
    Metadata
    Show full item record
    Citation
    Hadzic, 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.
    Source Title
    Biomedical data and applications
    DOI
    10.1007/978-3-642-02193-0_12
    ISBN
    9783642021923
    Faculty
    Curtin Business School
    The Digital Ecosystems and Business Intelligence Institute (DEBII)
    School
    Digital Ecosystems and Business Intelligence Institute (DEBII)
    Remarks

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

    URI
    http://hdl.handle.net/20.500.11937/22155
    Collection
    • Curtin Research Publications
    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.

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