Ohno-Machado L, Lacson R, Massad E
Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Division of Health Sciences and Technology, Massachusetts Institute of Technology, Boston, MA, USA.
Proc AMIA Symp. 2000:625-9.
In 1997, health authorities of the state of São Paulo, Brazil designed a vaccination campaign against measles based on a decision model that utilized fuzzy logic. The chosen mass vaccination strategy was implemented and changed the natural course of the epidemic in that state. We have built a model using a decision tree and compare it to the fuzzy logic model. Using essentially the same set of assumptions about this problem, we contrast the two approaches. The models identify the same strategy as being the best one, but exhibit differences in the ranking of the remaining strategies.
1997年,巴西圣保罗州的卫生当局基于一种运用模糊逻辑的决策模型设计了一场麻疹疫苗接种运动。所选择的大规模疫苗接种策略得以实施,并改变了该州麻疹疫情的自然发展进程。我们构建了一个使用决策树的模型,并将其与模糊逻辑模型进行比较。在对这个问题使用基本相同的一组假设的情况下,我们对比了这两种方法。这两个模型都将相同的策略识别为最佳策略,但在其余策略的排名上存在差异。