Completing the total wellbeing puzzle using a multi-agent system

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, relat...

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Main Authors: Hadzic, Maja, Chen, Meifania, Brouwer, R.
Other Authors: Amandeep Sidhu
Format: Book Chapter
Published: Springer 2009
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/22155
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author Hadzic, Maja
Chen, Meifania
Brouwer, R.
author2 Amandeep Sidhu
author_facet Amandeep Sidhu
Hadzic, Maja
Chen, Meifania
Brouwer, R.
author_sort Hadzic, Maja
building Curtin Institutional Repository
collection Online Access
description 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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spelling curtin-20.500.11937-221552022-12-09T06:09:40Z Completing the total wellbeing puzzle using a multi-agent system Hadzic, Maja Chen, Meifania Brouwer, R. Amandeep Sidhu Tharam Dillon Multi-agent System Design Total Wellbeing e-Health Ontology-based Multi-agent System Health Information System 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. 2009 Book Chapter http://hdl.handle.net/20.500.11937/22155 10.1007/978-3-642-02193-0_12 Springer restricted
spellingShingle Multi-agent System Design
Total Wellbeing
e-Health
Ontology-based Multi-agent System
Health Information System
Hadzic, Maja
Chen, Meifania
Brouwer, R.
Completing the total wellbeing puzzle using a multi-agent system
title Completing the total wellbeing puzzle using a multi-agent system
title_full Completing the total wellbeing puzzle using a multi-agent system
title_fullStr Completing the total wellbeing puzzle using a multi-agent system
title_full_unstemmed Completing the total wellbeing puzzle using a multi-agent system
title_short Completing the total wellbeing puzzle using a multi-agent system
title_sort completing the total wellbeing puzzle using a multi-agent system
topic Multi-agent System Design
Total Wellbeing
e-Health
Ontology-based Multi-agent System
Health Information System
url http://hdl.handle.net/20.500.11937/22155