Case-Based Reasoning Decision Making in Ambient Assisted Living

  • Davide Carneiro
  • Paulo Novais
  • Ricardo Costa
  • José Neves
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5518)


Quality on the welfare services in caring, and the trend to minimize the economical and social-political costs that come with such practice, due to the population aging, are paramount nowadays, i.e., health care reform has become the leading policy issue in all latitudes. Indeed, the major thrust of all this research is the perception that escalating costs make the current structure and financing of health care unsustainable. The issue of sustainability is, therefore, the main subject of this paper. As a result, and in order to accomplish this goal, we decided to look to the problem from an user perspective, i.e., the system not only will provide different services, but will be also able to trace the ones more frequently used and to learn about the context in which they happen. As a result, we will have a system that will act and learn according to the preferences and habits of its users, and, simultaneously, will adapt to the environment with the objective of reducing the cost of its practices.


Ambient Assisted Living e-Health Case Based Reasoning  Machine Learning Simulation 


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  1. 1.
    United Nations: World Population Ageing: 1950-2050. UN (2002)Google Scholar
  2. 2.
    IBM Global Business Services: Healthcare 2015: Win-win or lose-lose? (2006)Google Scholar
  3. 3.
    Holmlid, S., Björklind, A.: Ambient Intelligence to Go. AmIGo White Paper on mobile intelligent ambience (2003)Google Scholar
  4. 4.
    Fraile, J.A., Bajo, J., Abraham, A., Corchado, J.M.: TITLE: HoCaMA: Home Care Hybrid Multiagent Architecture. In: Advances in Intelligent Multimedia and Pervasive Computing, Part II - Ambient Intelligence and Ubiquitous Computing. Springer, Heidelberg (2008)Google Scholar
  5. 5.
    Novais, P., Costa, R., Carneiro, D., Machado, J., Lima, L., Neves, J.: Group Support in Collaborative Networks Organizations for Ambient Assisted Living. In: Oya, M., Uda, R., Yasunobu, C. (eds.) Towards Sustainable Society on Ubiquitous Networks. IFIP International Federation for Information Processing, pp. 353–362. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  6. 6.
    Carneiro, D., Costa, R., Novais, P., Neves, J., Machado, J., Neves, J.: Simulating and Monitoring Ambient Assisted Living. In: Proceedings of the ESM 2008 - The 22nd annual European Simulation and Modelling Conference, Le Havre, France, October 2008, pp. 175–182 (2008) ISBN 978-90-77381-44-1Google Scholar
  7. 7.
    OSGi Alliance: OSGi Service Platform, Rel. 3. IOS Press, Amsterdam (2003)Google Scholar
  8. 8.
    Aamodt, A., Plaza, E.: Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications 7(1), 39–59 (1994)Google Scholar
  9. 9.
    Costa, R., Carneiro, D., Novais, P., Lima, L., Machado, J., Marques, A., Neves, J.: Ambient Assisted Living. In: Advances in Soft Computing, vol. 51, pp. 86–94. Springer, Heidelberg (2008)Google Scholar
  10. 10.
    Alamán, X., Ballesteros, F., Bravo, J., Fernández, D.: Ambient Intelligence at Home: Facts and Future. In: Cepis Upgrade: Ambient Intelligence, Novatica, vol. VIII(4) (2007)Google Scholar
  11. 11.
    Augusto, J., McCullagh, P.: Ambient Intelligence: Concepts and Applications. Computer Science Inf. Syst. 4(1), 1–27 (2007)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Davide Carneiro
    • 1
  • Paulo Novais
    • 1
  • Ricardo Costa
    • 2
  • José Neves
    • 1
  1. 1.DI-CCTC, Universidade do MinhoBragaPortugal
  2. 2.College of Management and TechnologyPolytechnic of PortoFelgueirasPortugal

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