Abstract
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.
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Carneiro, D., Novais, P., Costa, R., Neves, J. (2009). Case-Based Reasoning Decision Making in Ambient Assisted Living. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_119
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DOI: https://doi.org/10.1007/978-3-642-02481-8_119
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