Searching for Bayesian Decision Support System information? Find all needed info by using official links provided below.
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.ncbi.nlm.nih.gov/pubmed/29503749
Objectives: In this study, a clinical decision support system was developed to help general practitioners assess the need for orthodontic treatment in patients with permanent dentition. Methods: We chose a Bayesian network (BN) as the underlying model for assessing the need for orthodontic treatment.Cited by: 5
https://www.sciencedirect.com/topics/medicine-and-dentistry/clinical-decision-support-system
Mar 30, 2016 · Clinical Decision Support System. ... If using uncertainties or probabilities, they are increasingly likely to be managed by separate algorithms, e.g. Bayesian networks. The first is a key issue almost specific to medicine and discussed below. The others are beyond the scope of this chapter but discussed elsewhere in this book as noted.
https://link.springer.com/article/10.1007/s00134-007-0728-6
Jun 16, 2007 · A Bayesian Decision-Support System, linked to computerized patient record systems in the ICU, accurately predicted absence and presence of VAP. Two approaches for application were analyzed. When used on a daily basis, BDSS predictions had extremely high negative predictive values, but low positive predictive values.Cited by: 30
http://erichorvitz.com/handsfree.htm
Wearable Bayesian Decision Support System. In the early 90's, Eric Horvitz and Mike Shwe created an early prototype of a handsfree trauma care system. The work was done within Knowledge Industries, a Bayesian systems startup founded in 1988 by Jack Breese, David Heckerman, and Eric Horvitz. The system employed a personal display, driven by a ...
https://www.researchgate.net/profile/Ajith_Kumar_Parlikad/publication/259621540_A_Bayesian_decision_support_system_for_vehicle_component_recovery/links/54230f1d0cf290c9e3ae2632/A-Bayesian-decision-support-system-for-vehicle-component-recovery.pdf
A Bayesian decision support system for vehicle component recovery 417 problem domain which will help us in developing a model of the process to assist decision-making. Finally, we will also ...
https://www.bayesialab.com/
On this basis, BayesiaLab offers an extensive analytics, simulation and optimization toolset, providing comprehensive support for policy development and decision making. In this context, BayesiaLab is unique in its ability to distinguish between observational and causal inference.
https://www.sciencedirect.com/science/article/pii/S0022437516000128
Hence, use of such a Bayesian decision support system seems promising for coding event information based on injury narratives from large occupational injury databases. The SW and TW Naïve Bayes models used for building the decision support system yielded reasonably good prediction performance, with the TW model being slightly better.Cited by: 5
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3932455/
Aug 19, 2013 · A Bayesian network for early diagnosis of sepsis patients: a basis for a clinical decision support system. 2nd IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS); Las Vegas, NV: 23–25, 2012, 1–5Cited by: 95
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