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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Dynamic Decision Support System Based on Bayesian Networks
Digital Object Identifier (DOI) : 10.14569/IJARAI.2012.010105
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 1, 2012.
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).
Keywords: Dynamic Decision Support Systems; Nosocomial Infection; Bayesian Network.
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}
}
