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Bayesian networks play a key role in decision support within health care. Physicians rely on Bayesian networks to give medical treatment, generate what-if scenarios, and other decision-support tasks. Stochastic sampling from a Bayesian network with some nodes instantiated as evidence is a powerful tool with Bayesian networks. With decision support systems, generating random samples from a Bayesian network is key to simulating possible scenarios and consequences. Some techniques for stochasticdoi:10.1109/hicss.2007.163 dblp:conf/hicss/PerryF07 fatcat:aoixjekrzbchbavtgfc2yntgui