Abstract
In the context of patients hospitalized in intensive care units, we would like to predict the evolution of the patient’s condition. We hypothesis that human-computer collaboration could help with the definition of signatures representative of specific situations. We have defined a multi-agent system (MAS) to support this assumption. Preliminary results are presented to support our assumption.
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Guyet, T., Garbay, C., Dojat, M. (2005). Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series. In: Miksch, S., Hunter, J., Keravnou, E.T. (eds) Artificial Intelligence in Medicine. AIME 2005. Lecture Notes in Computer Science(), vol 3581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527770_57
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DOI: https://doi.org/10.1007/11527770_57
Publisher Name: Springer, Berlin, Heidelberg
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