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

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.