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https://arxiv.org/pdf/1211.2126
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).Cited by: 16
https://www.researchgate.net/publication/233911268_Paper5-Dynamic_Decision_Support_System_Based_on_Bayesian_Networks
Paper5-Dynamic Decision Support System Based on Bayesian Networks Data (PDF Available) in International Journal of Advanced Research in Artificial Intelligence 1(1) · …
https://opus.lib.uts.edu.au/bitstream/10453/32962/1/13065-28250-1-PB.pdf
A Situation Analysis Decision Support System Based on Dynamic Object Oriented Bayesian Networks Mohsen Naderpour and Jie Lu Decision Systems and e-Service Intelligence Laboratory Centre for Quantum Computation & Intelligent Systems, School of Software Faculty of Engineering and IT, University of Technology, Sydney
https://www.academia.edu/23765657/Dynamic_Decision_Support_System_Based_on_Bayesian_Networks
Dynamic Decision Support System Based on Bayesian Networks
https://ui.adsabs.harvard.edu/abs/2012arXiv1211.2126L/abstract
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).Cited by: 16
https://www.sciencedirect.com/topics/computer-science/dynamic-bayesian-network
This chapter describes a novel method inspired by the Schrödinger equation for client portfolio simulation based on dynamic Bayesian networks and the REFII model. The concept regarding the Schrödinger equation is the basis for the model based on a dynamic Bayesian network and the time series transformation model REFII.
https://www.bayesfusion.com/dbns/
The decision is not a one-shot decision, whose effects we will know immediately but rather a decision whose effects will unfold over time. In order to assess the consequences of this decision, the manufacturer needs to model time explicitly and use dynamic Bayesian networks.
https://www.sciencedirect.com/science/article/pii/S0022169412010177
However, among their major limitations, the non-transient treatment of the cause-effect relationship stands out. A Decision Support System (DSS) based on Dynamic Bayesian Networks (DBNs) is proposed here aimed to palliate that limitation through time slicing technique.Cited by: 62
https://warwick.ac.uk/fac/sci/statistics/crism/research/paper14-18/14-18w.pdf
this complex system. In this paper, the use of Dynamic Bayesian Networks for decision support are explored as a way to connect, in a principled manner, the key local and international factors in uencing the UK supply and price of sugar, to evaluate the e ects of various shocks to the system and to uncover the consequent levels of UK food poverty.
https://www.bayesia.com/bayesian-networks-examples
A Dynamic Bayesian Network Example. Entities that live in a changing environment must keep track of variables whose values change over time. Dynamic Bayesian networks capture this process by representing multiple copies of the state variables, one for each time step.
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