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The improvement of medical care quality is a significant interest for thefuture years. The fight against nosocomial infections (NI) in the intensivecare units (ICU) is a good example. We will focus on a set of observationswhich reflect the dynamic aspect of the decision, result of the application ofa Medical Decision Support System (MDSS). This system has to make dynamicdecision on temporal data. We use dynamic Bayesian network (DBN) to model thisdynamic process. It is a temporal reasoning within a real-time environment; weare interested in the Dynamic Decision Support Systems in healthcare domain(MDDSS).

Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections