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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.bayesialab.com/
BayesiaLab builds upon the inherently graphical structure of Bayesian networks and provides highly advanced visualization techniques to explore and explain complex problems. As a result, a broad range of stakeholders, regardless of their quantitative skill, can engage with a Bayesian network model and contribute their expertise.
https://www.researchgate.net/publication/257016003_Decision_Support_System_for_Warfarin_Therapy_Management_using_Bayesian_Networks
In this paper we describe a decision support system using Bayesian networks, which is mainly parameterised based on questionnaire, interviewing and clinical assessment data, for violence risk ...
https://www.sciencedirect.com/science/article/pii/S016792361200262X
The possible sources of variation such as concomitant illnesses and drug interactions have to be investigated by the clinician in order to deal with the variation. This paper describes a decision support system (DSS) using Bayesian networks for assisting clinicians to make better decisions in Warfarin therapy management.Cited by: 30
https://www.researchgate.net/publication/276203801_Metamodeling_of_Bayesian_networks_for_decision-support_systems_development
Metamodeling of Bayesian networks for decision-support systems development ... of Bayesian networks f or decision-support. ... in order to build a knowledge based system supported by Bayesian ...
https://www.academia.edu/23765657/Dynamic_Decision_Support_System_Based_on_Bayesian_Networks
Dynamic Decision Support System Based on Bayesian Networks
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3473729/
A Bayesian system has been used to improve the positive predictive value of breast lesion biopsy, a goal that was started through earlier work with neural networks [32, 33, 47]. The system performed as well as the breast radiologist in not missing a cancer ( p <0.001) and improved the positive predictive value of biopsy from 21.6% to 31.2%.Cited by: 17
https://warwick.ac.uk/fac/sci/statistics/crism/research/paper14-18/14-18w.pdf
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. 1.2 Bayesian Networks
https://www.bayesia.com/webinar-diagnostic-decision-support-with-bayesian-networks
Webinar Recording Diagnostic Decision Support with Bayesian Networks. Recorded on February 9, 2018.
https://www.bayesia.com/bayesian-networks-examples
Practical Applications of Bayesian Networks. Of course, practical applications of Bayesian networks go far beyond these "toy examples." Here is a selection of tutorials, webinars, and seminars, which show the broad spectrum of real-world applications of Bayesian networks.
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