Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections
Artificial Intelligence
2012-11-12 v1 Databases
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
Cite
@article{arxiv.1211.2126,
title = {Dynamic Decision Support System Based on Bayesian Networks Application to fight against the Nosocomial Infections},
author = {Hela Ltifi and Ghada Trabelsi and Mounir Ben Ayed and Adel M. Alimi},
journal= {arXiv preprint arXiv:1211.2126},
year = {2012}
}
Comments
8 pages, 6 figures, 43 references