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 wellbeing is seen as a function of physical health, mental health, emotions, relationships, 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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Hadzic, M., Chen, M., Brouwer, R. (2009). Completing the Total Wellbeing Puzzle Using a Multi-agent System. In: Sidhu, A.S., Dillon, T.S. (eds) Biomedical Data and Applications. Studies in Computational Intelligence, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02193-0_12
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DOI: https://doi.org/10.1007/978-3-642-02193-0_12
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