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).

Hela Ltifi, Ghada Trabelsi , Mounir Ben Ayed and Adel M. Alimi, “Dynamic Decision Support System Based on Bayesian Networks ” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(1), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010105

@article{Ltifi2012,
title = {Dynamic Decision Support System Based on Bayesian Networks },
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010105},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010105},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {1},
author = {Hela Ltifi and Ghada Trabelsi and Mounir Ben Ayed and Adel M. Alimi}
}