Inference of Clinical Activities from Contextual Properties
Abstract
In the scope of the pervasive and context-sensitive computing, is inserted the ClinicSpace project with an architecture focused to the clinical environment. Among the pervasive computing principles is the invisibility of the system, in the sense of this act without being noticed, using, for example, the task inference as way of aid in the system utilization. To perform inference of clinical tasks, in the ClinicSpace, were developed components that store the task execution history of the user together with the state of context. Therefore, by monitoring the context, the system can suggest the next task to the user to perform and improve its usability.References
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Philipose, M. et al (2003). “The Probabilistic Activity Toolkit: Towards Enabling Activity-Aware Computer Interfaces”. Intel Research Tech Demo. USA.
Quinlan, J. R. (1993). “C4.5: Programs for Machine Learning”. Morgan Kaufmann Publishers, Inc, USA.
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Schilit, B., Normal, A, Want R. (1994). “Context-Aware Computing Applications”. In Proceedings of IEEE Workshop on Mobile Computing Systems an Applications, USA.
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Yamin, A. C. (2004). “Arquitetura para um Ambiente de Grade Computacional Direcionado às Aplicações Distribuídas, Móveis e Conscientes de Contexto da Computação Pervasiva. Tese de Doutorado. Porto Alegre, RS, Brasil.
Published
2010-07-20
How to Cite
SOUZA, Marcos V. B.; AUGUSTIN, Iara.
Inference of Clinical Activities from Contextual Properties. In: BRAZILIAN SYMPOSIUM ON COMPUTING APPLIED TO HEALTH (SBCAS), 10. , 2010, Belo Horizonte/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2010
.
p. 1717-1726.
ISSN 2763-8952.
