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Risk for Carotid Intima-Medial Thickness in Recently Menopausal Women Enrolled in the Kronos Early Estrogen Prevention Study (KEEPS): Determination Using Fuzzy Logic

机译:参加Kronos早期雌激素预防研究(KEEPS)的更年期女性的颈动脉内膜中层厚度风险:使用模糊逻辑确定

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摘要

Previously, the biological factors were weighed by the expert opinions. In this paper, we evaluate the risk factors proposed by the expert opinions. We use fuzzy logic techniques for predicting risk for development of carotid intima-medial thickness (CIMT) using expert opinion and various factors associated with CIMT in recently menopausal women. Study participants were enrolled in the Kronos Early Estrogen Prevention Study (KEEPS), a four-year study where participants were assigned to either oral or transdermal hormone treatments or to placebo. We use preference modeling techniques to determine the consensus winner of the causal factors. We use a measure to determine the degree to which one factor is preferred to another. We also determine the extent to which a factor is preferred to another by "most" experts. We determine the degree to which the experts agree. We consider a model concerning social networks and the effects of these networks on persons' opinions.
机译:以前,生物学因素是由专家意见权衡的。在本文中,我们评估专家意见提出的风险因素。我们使用模糊逻辑技术,使用专家意见和与最近绝经期妇女的CIMT相关的各种因素,来预测颈动脉内中膜厚度(CIMT)的发展风险。研究参与者参加了一项为期四年的Kronos早期雌激素预防研究(KEEPS),参与者被分配为口服或经皮激素治疗或安慰剂。我们使用偏好建模技术来确定因果关系的共识赢家。我们使用一种度量来确定一个因素优于另一个因素的程度。我们还确定了“大多数”专家相对于另一个因素更喜欢一个因素的程度。我们确定专家们同意的程度。我们考虑一个关于社交网络以及这些网络对人的意见的影响的模型。

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