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• W2160972616 abstract "The improvement of medical care quality is a significant interest for the future years. The fight against nosocomial infections (NI) in the intensive care units (ICU) is a good example. We will focus on a set of observations which reflect the dynamic aspect of the decision, result of the application of a Medical Decision Support System (MDSS). This system has to make dynamic decision on temporal data. We use dynamic Bayesian network (DBN) to model this dynamic process. It is a temporal reasoning within a real-time environment; we are interested in the Dynamic Decision Support Systems in healthcare domain (MDDSS)." @default.
• W2160972616 created "2016-06-24" @default.
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• W2160972616 date "2012-11-09" @default.
• W2160972616 modified "2023-09-27" @default.
• W2160972616 title "Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections" @default.
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• W2160972616 hasPublicationYear "2012" @default.
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