Stroke, or cerebrovascular accident (CVA), is a medical emergency that may lead to permanent neurological damage, complications, and death. The rapid loss of brain function due to disruption of the blood supply to the brain is caused by blockage (thrombosis, arterial embolism) or hemorrhage. The incidence of CVA during anesthesia for noncardiac nonvascular surgery is as high as 1% depending on risk factors. Comprehensive preoperative assessment and good perioperative management may prevent a CVA. However, should an ischemic event occur, appropriate and rapid management is necessary to minimize the deleterious effects caused to the patient. This case report describes a patient who had an ischemic CVA while under general anesthesia for dental alveolar surgery and discusses the anesthesia management.
BackgroundThe recommendations ofcomputer-based decision-support systems depend on the preferences of an expert on which the model is based. Qften, these preferences are represented only implicitly, rather than explicitly, in the system. Decision-theoretic preference models that explicitly represent the preferences of the decision maker provide numerous advantagesfor decision-support systems. In this paper, we describe these advantages. The creation and refinement of decision-theoretic preference models, however, remains a difficult task.We describe an accurate and efficient method for determining the preferences of domain experts and for refining the model that captures those preferences. In this preference-assessment method, we simulate decisions common in the expert's area. We then infer the preferences of the expert from the choices that she makes on the simulated decisions, and use the preference information to refine the model automatically.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.