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Research Article | Open Access |

Dynamic Decision Support System Based on Bayesian Networks

Author 1: Hela Ltifi Author 2: Ghada Trabelsi Author 3: Mounir Ben Ayed Author 4: Adel M. Alimi
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 1, No. 1 · Published 2012 · Cited by 23

DOI: 10.14569/IJARAI.2012.010105

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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).

Keywords

Dynamic Decision Support Systems Nosocomial Infection Bayesian Network.

How to Cite this Article

Ltifi, H., Trabelsi, G., Ayed, M. B., & Alimi, A. M. (2012). Dynamic Decision Support System Based on Bayesian Networks. International Journal of Advanced Research in Artificial Intelligence, 1(1). https://doi.org/10.14569/IJARAI.2012.010105

Ltifi, Hela, et al.. "Dynamic Decision Support System Based on Bayesian Networks." International Journal of Advanced Research in Artificial Intelligence, vol. 1, no. 1, 2012, https://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},
  volume    = {1},
  number    = {1},
  year      = {2012},
  publisher = {The Science and Information Organization},
  author    = {Hela Ltifi and Ghada Trabelsi and Mounir Ben Ayed and Adel M. Alimi},
  doi       = {10.14569/IJARAI.2012.010105},
  url       = {https://doi.org/10.14569/IJARAI.2012.010105}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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