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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.

Human/Computer Interaction to Learn Scenarios from ICU Multivariate Time Series