Skip to main content
SpringerLink
Log in

Completing the Total Wellbeing Puzzle Using a Multi-agent System

  • Chapter
Biomedical Data and Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 224))

  • 676 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Hadzic, M., Chang, E.: Web Semantics for Intelligent and Dynamic Information Retrieval Illustrated Within the Mental Health Domain. In: Chang, E., Dillon, T.S., Meersman, R., Sycara, K. (eds.) Advances in Web Semantics I. LNCS, vol. 4891, pp. 260–275. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Goble, C.: The Grid Needs you. Enlist Now. In: Proceedings of the International Conference on Cooperative Object Oriented Information Systems, pp. 589–600 (2003)

    Google Scholar 

  3. Moreno, A., Isern, D.: A First Step Towards Providing Health-care Agent-based Services to Mobile Users. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multi-agent Systems, pp. 589–590 (2002)

    Google Scholar 

  4. Huang, J., Jennings, N.R., Fox, J.: An Agent-based Approach to Health Care Management. International Journal of Applied Artificial Intelligence 9(4), 401–420 (1995)

    Article  Google Scholar 

  5. Merelli, E., Culmone, R., Mariani, L.: BioAgent - A Mobile Agent System for Bioscientists. In: Proceedings of the Network Tools and Applications in Biology Workshop Agents in Bioinformatics (2002)

    Google Scholar 

  6. Ulieru, M.: Internet-enabled Soft Computing Holarchies for e-Health Applications. New Directions in Enhancing the Power of the Internet, 131–166 (2003)

    Google Scholar 

  7. Srinivasan, P., Mitchell, J., Bodenreider, O., Pant, G., Menczer, F.: Web Crawling Agents for Retrieving Biomedical Information. In: Proceedings of International Workshop on Agents in Bioinformatics (NETTAB 2002) (2002)

    Google Scholar 

  8. Ceusters, W., Martens, P., Dhaen, C., Terzic, B.: LinkFactory: an advanced formal ontology management System. In: Proceedings of interactive tools for Knowledge Capture (KCAP 2001) (2001)

    Google Scholar 

  9. Bodenreider, O.: The Unified Medical Language System (UMLS): integrating Biomedical terminology. Nucleic Acids Research 32(1), 267–270 (2004)

    Article  Google Scholar 

  10. Hadzic, M., Chang, E.: Ontology-based Support for Human Disease Study. In: Proceedings of the Hawaii International Conference on System Sciences (HICSS38 2005), p. 143a (2005)

    Google Scholar 

  11. Sidhu, A.S., Dillon, T.S., Chang, E.: Integration of Protein Data Sources through PO. In: Bressan, S., Küng, J., Wagner, R. (eds.) DEXA 2006. LNCS, vol. 4080, pp. 519–527. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Hadzic, M., Ulieru, M., Chang, E.: Soft Computing Agents for e-Health Applied to the Research and Control of Unknown Diseases. Information Sciences (special journal issue on Softcomputing meets Agents) 176, 1190–1214 (2006)

    MATH  Google Scholar 

  13. Myers, D.G.: The American Paradox: Spiritual Hunger in an Age of Plenty. Yale University Press, New Haven (2000)

    Google Scholar 

  14. Hall, D.R., Zhao, J.Z.: Cohabitation and Divorce in Canada: Testing the Selectivity Hypothesis. Journal of Marriage and the Family 57, 421–427 (1995)

    Article  Google Scholar 

  15. Lopez, A.D., Murray, C.C.J.L.: The Global Burden of Disease, 1990-2020. Nature Medicine 4, 1241–1243 (1998)

    Article  Google Scholar 

  16. Weiss, J.M.: Stress-induced Depression: Critical Neurochemical and Electrophysiological Changes. In: Madden, J. (ed.) Neurobiology of Learning, Emotion, and Affect, pp. 123–154. Raven Press, New York (1991)

    Google Scholar 

  17. Sapolsky, R.M.: Stress, Glucocorticoids, and Damage to the Nervous System: The Current State of Confusion. Stress 1, 1–19 (1996)

    Article  Google Scholar 

  18. Strine, T.W., Mokdad, A.H., Balluz, L.S., Berry, J.T., Gonzalez, O.: Impact of Depression and Anxiety on Quality of Life, Health Behaviors, and Asthma Control Among Adults in the United States with Asthma. Journal of Asthma 45(2), 123–133 (2008)

    Article  Google Scholar 

  19. Strine, T.W., Mokdad, A.H., Dube, S.R., Balluz, L.S., Gonzalez, O., Berry, J.T., Manderscheid, R., Kroenke, K.: The Association of Depression and Anxiety with Obesity and Unhealthy Behaviors Among Community-dwelling US Adults. General Hospital Psychiatry 30(2), 127–137 (2008)

    Article  Google Scholar 

  20. Rozanski, A., Blumenthal, J.A., Kaplan, J.: Impact of Psychological Factors on the Pathogenesis of Cardiovascular Disease and Implications for Therapy. Circulation 99, 2192–2217 (1999)

    Google Scholar 

  21. U.S. Surgeon General’s Report on Physical Activity and Health (1996)

    Google Scholar 

  22. Phillips, W.T., Kiernan, M., King, A.C.: Physical Activity as a Nonpharmacological Treatment for Depression: A Review. Complementary Health Practice Review 8(2), 139–152 (2003)

    Article  Google Scholar 

  23. Pilu, A., Sorba, M., Hardoy, M.C., Floris, A.L., Mannu, F., Seruis, M.L., Velluti, C., Carpiniello, B., Salvi, M., Carta, M.G.: Efficacy of Physical Activity in the Adjunctive Treatment of Major Depressive Disorders: Preliminary Results. Clinical Practice and Epidemiology in Mental Health 3(8) (2007)

    Google Scholar 

  24. Taylor, C.B., Sallis, J.F., Needle, R.: The Relation of Physical Activity and Exercise to Mental Health. Public Health Report 100(2), 195–202 (1985)

    Google Scholar 

  25. Inglehart, R.: Culture Shift in Advanced Industrial Society. Princeton University Press, Princeton (1997)

    Google Scholar 

  26. Veenhoven, R.: Questions on Happiness: Classical Topics, Modern Answers, Blind Spots. In: Strack, F., Argyle, M., Schwarz, N. (eds.) Subjective Wellbeing: An Interdisciplinary Perspective, pp. 7–26. Pergamon Press, Oxford (1991)

    Google Scholar 

  27. Ettner, S.: New Evidence on the Relationship Between Income and Health. Journal of Health Economics 15(1), 67–85 (1996)

    Article  Google Scholar 

  28. House, J.S., Landis, K.R., Umberson, D.: Social Relationships and Health. Science 241(4865), 540–545 (1988)

    Article  Google Scholar 

  29. Kawachi, I., Berkman, L.F.: Social Ties and Mental Health. Journal of Urban Health 78(3), 458–467 (2001)

    Google Scholar 

  30. Rolland, J.S.: In Sickness and in Health: the Impact of Illness on Couples Relationships. Journal of Marital and Family Therapy 20(4), 327–347 (2007)

    Article  Google Scholar 

  31. Fleshner, M., Brohm, M., Watkins, L.R., Laudenslager, M.L., Maier, S.F.: Modulation of the in Vivo Antibody Response by Benzodiazepine-inverse Agonist (DMCM) Given Centrally or Peripherally. Physiology and Behavior 54, 1149–1154 (1993)

    Article  Google Scholar 

  32. Shen, B.J., Avivi, Y.E., Todaro, J.F., Spiro, A., Laurenceau, J.P., Ward, K.D., Niaura, R.: Anxiety Characteristics Independently and Prospectively Predict Myocardial Infarction in Men the Unique Contribution of Anxiety Among Psychologic Factors. Journal of the American College of Cardiology 51(2), 113–119 (2008)

    Article  Google Scholar 

  33. Colbert, D.: Deadly Emotions: Understand the Mind-Body-Spirit Connection that can Heal or Destroy You. Thomas Nelson (2003)

    Google Scholar 

  34. Powell, L.H., Shahabi, L., Thoresen, C.E.: Religion and Spirituality: Linkages to Physical Health. American Psychologist 58(1), 36–52 (2003)

    Article  Google Scholar 

  35. Wright, H.W.: A More Excellent Way: Be in Health, Spiritual Roots of Disease Pathway to Wholeness. Pleasant Valley Publications (2005)

    Google Scholar 

  36. D’Souza, R.: Do Patients Expect Psychiatrists to be Interested in Spiritual Issues. Australasian Psychiatry 10(1), 44–47 (2002)

    Article  Google Scholar 

  37. Bergin, A.E.: Values and Religious Issues in Psychotherapy and Mental Health. American Psychologist 46(4), 394–403 (1991)

    Article  Google Scholar 

  38. Hadzic, M. Chang, E.: TICSA Approach: Five Important Aspects of Multi-agent Systems. In: Proceedings of the International IFIP Workshop On Semantic Web & Web Semantics, On The Move Federated Conferences (2008)

    Google Scholar 

  39. Hadzic, M., Hadzic, F., Dillon, T.: Domain Driven Data Mining for the Mental Health Domain. In: Yu, P.S., Zhang, C., Zhang, H. (eds.) Domain Driven Data Mining: Domain Problems, Springer, Heidelberg (2008)

    Google Scholar 

  40. Hadzic, M., Hadzic, F., Dillon, T.S.: Tree Mining in Mental Health Domain. In: Proceedings of the 41st Hawaii International Conference on System Sciences (2008)

    Google Scholar 

  41. Hadzic, M., Hadzic, F., Dillon, T.S.: Mining of Health Information From Ontologies. In: Proceedings of the International Conference on Health Informatics (2008)

    Google Scholar 

  42. Hadzic, M., D’Souza, R., Hadzic, F., Dillon, T.: Synergy of Ontology and Data Mining: Increasing Value of the Mental Health Information within PubMed database. In: Proceedings of the Second IEEE International Digital Ecosystems and Technology Conference, pp. 600–603 (2008)

    Google Scholar 

  43. Hadzic, M., D’Souza, R., Hadzic, F., Dillon, T.: Thinking PubMed: an Innovative System for Mental Health Domain. In: Proceedings of the 21st IEEE International Symposium on Computer-Based Medical Systems (2008)

    Google Scholar 

  44. Maedche, A.D.: Ontology Learning for the Semantic Web. Kluwer Academic Publishers, Norwell (2003)

    Google Scholar 

  45. Hadzic, M., Chen, M., Brouwer, R.: A Modern Approach to Total Wellbeing. In: Proceedings of the IT Revolutions (2008)

    Google Scholar 

  46. Mouratidis, H., Giorgini, P., Manson, G.A.: Modelling Secure Multi-agent Systems. In: Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 859–866 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Digital Ecosystems and Business Intelligence Institute (DEBII), Curtin University of Technology, GPO Box U1987, Perth, Western Australia, 6845, Australia

    Maja Hadzic & Meifania Chen

  2. Total Wellbeing Medical and Counseling Centre, Suite 1 / 857 Doncaster Rd Doncaster East 3109, Victoria, Australia

    Rick Brouwer

Authors
  1. Maja Hadzic
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Meifania Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rick Brouwer
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. WA Centre for Comparative Genomics, Murdoch University, 6150, Murdoch, Western Australia, Australia

    Amandeep S. Sidhu

  2. Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, 6102, Park Bentley, WA, Australia

    Tharam S. Dillon

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02193-0_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02192-3

  • Online ISBN: 978-3-642-02193-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation