Completing the Total Wellbeing Puzzle Using a Multi-agent System

  • Maja Hadzic
  • Meifania Chen
  • Rick Brouwer
Part of the Studies in Computational Intelligence book series (SCI, volume 224)


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.


Total Wellbeing Ontology-based Multi-agent System Multi-agent System Design e-Health Health Information System 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 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)CrossRefGoogle Scholar
  2. 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. 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. 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)CrossRefGoogle Scholar
  5. 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. 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. 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. 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. 9.
    Bodenreider, O.: The Unified Medical Language System (UMLS): integrating Biomedical terminology. Nucleic Acids Research 32(1), 267–270 (2004)CrossRefGoogle Scholar
  10. 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. 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)CrossRefGoogle Scholar
  12. 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)zbMATHGoogle Scholar
  13. 13.
    Myers, D.G.: The American Paradox: Spiritual Hunger in an Age of Plenty. Yale University Press, New Haven (2000)Google Scholar
  14. 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)CrossRefGoogle Scholar
  15. 15.
    Lopez, A.D., Murray, C.C.J.L.: The Global Burden of Disease, 1990-2020. Nature Medicine 4, 1241–1243 (1998)CrossRefGoogle Scholar
  16. 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. 17.
    Sapolsky, R.M.: Stress, Glucocorticoids, and Damage to the Nervous System: The Current State of Confusion. Stress 1, 1–19 (1996)CrossRefGoogle Scholar
  18. 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)CrossRefGoogle Scholar
  19. 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)CrossRefGoogle Scholar
  20. 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. 21.
    U.S. Surgeon General’s Report on Physical Activity and Health (1996)Google Scholar
  22. 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)CrossRefGoogle Scholar
  23. 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. 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. 25.
    Inglehart, R.: Culture Shift in Advanced Industrial Society. Princeton University Press, Princeton (1997)Google Scholar
  26. 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. 27.
    Ettner, S.: New Evidence on the Relationship Between Income and Health. Journal of Health Economics 15(1), 67–85 (1996)CrossRefGoogle Scholar
  28. 28.
    House, J.S., Landis, K.R., Umberson, D.: Social Relationships and Health. Science 241(4865), 540–545 (1988)CrossRefGoogle Scholar
  29. 29.
    Kawachi, I., Berkman, L.F.: Social Ties and Mental Health. Journal of Urban Health 78(3), 458–467 (2001)Google Scholar
  30. 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)CrossRefGoogle Scholar
  31. 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)CrossRefGoogle Scholar
  32. 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)CrossRefGoogle Scholar
  33. 33.
    Colbert, D.: Deadly Emotions: Understand the Mind-Body-Spirit Connection that can Heal or Destroy You. Thomas Nelson (2003)Google Scholar
  34. 34.
    Powell, L.H., Shahabi, L., Thoresen, C.E.: Religion and Spirituality: Linkages to Physical Health. American Psychologist 58(1), 36–52 (2003)CrossRefGoogle Scholar
  35. 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. 36.
    D’Souza, R.: Do Patients Expect Psychiatrists to be Interested in Spiritual Issues. Australasian Psychiatry 10(1), 44–47 (2002)CrossRefGoogle Scholar
  37. 37.
    Bergin, A.E.: Values and Religious Issues in Psychotherapy and Mental Health. American Psychologist 46(4), 394–403 (1991)CrossRefGoogle Scholar
  38. 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. 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. 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. 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. 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. 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. 44.
    Maedche, A.D.: Ontology Learning for the Semantic Web. Kluwer Academic Publishers, Norwell (2003)Google Scholar
  45. 45.
    Hadzic, M., Chen, M., Brouwer, R.: A Modern Approach to Total Wellbeing. In: Proceedings of the IT Revolutions (2008)Google Scholar
  46. 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

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Maja Hadzic
    • 1
  • Meifania Chen
    • 1
  • Rick Brouwer
    • 2
  1. 1.Digital Ecosystems and Business Intelligence Institute (DEBII)Curtin University of TechnologyPerthAustralia
  2. 2.Total Wellbeing Medical and Counseling CentreVictoriaAustralia

Personalised recommendations