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

نویسندگان

  • Hela Ltifi
  • Ghada Trabelsi
  • Mounir Ben Ayed
  • Adel M. Alimi
چکیده

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). KeywordsDynamic Decision Support Systems; Nosocomial Infection; Bayesian Network.

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عنوان ژورنال:
  • CoRR

دوره abs/1211.2126  شماره 

صفحات  -

تاریخ انتشار 2012