Bayesian Belief Networks (bbns) play a relevant role in the eld of Artiicial Intelligence in Medicine and they have been successfully applied to a wide variety of medical domains. An appealing character of bbns is that they easily extend into a complete decision-theoretic formalism known as Innuence Diagrams (ids). Unfortunately, bbns and ids require a large amount of information that is not al...

concerns over limited medical equipment and resources, particularly in intensive care units (icus), have raised the issue of medical futility. medical futility draws a contrast between physician’s authority and patients’ autonomy and it is one of the major issues of end-of-life ethical decision-making. the aim of this study was to review medical futility and its challenges. in this systematized...

background the inclusion of cost-effectiveness data, as a basis for priority setting rankings, is a distinguishing feature in the formulation of the swedish national guidelines. guidelines are generated with the direct intent to influence health policy and support decisions about the efficient allocation of scarce healthcare resources. certain medical conditions may be given higher priority ran...