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arXiv · 1211.2126

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

Hela Ltifi·Ghada Trabelsi·Mounir Ben Ayed·Adel M. Alimi
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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).

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Hela Ltifi, Ghada Trabelsi, Mounir Ben Ayed, Adel M. Alimi. 2012-11-09. Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections. https://arxiv.org/abs/1211.2126

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