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Using Fuzzy Evidential Reasoning for Multiple Assessment Fusion in Spondylarthropathic Patient Self-management

机译:颈椎病患者自我管理中使用模糊证据推理进行多评估融合

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This paper proposes an approach for an ICT-supported medical assessment, by merging measures of signs and symptoms from heterogeneous sources. The disease status estimate of patients that suffer from spondylarthropathy is evaluated with different types of uncertainties using a fuzzy rule-based evidential reasoning (FURBER) approach. The approach treats measures of signs and symptoms in order to define the disease status. We take in consideration the Bath indices and the ASDAS index, described by using fuzzy linguistic variables. A fuzzy rule-base designed on the basis of a belief structure is exploited to capture uncertainty and non-linear relationships between these parameters and the disease status. The inference of the rule-based system is implemented using an evidential reasoning algorithm. An expected utility-based health score is used to assess disease activity over time and to measure the response to treatment. Our tool may be particularly helpful in monitoring the response of treatments and in interpreting the response to therapeutic interventions in clinical trials. A case study is used to illustrate the application of the proposed approach.
机译:本文提出了一种通过合并来自不同来源的体征和症状的措施来进行ICT支持的医学评估的方法。使用基于模糊规则的证据推理(FURBER)方法,使用不同类型的不确定性来评估患有脊柱软化症患者的疾病状况估计。该方法治疗体征和症状,以定义疾病状态。我们考虑使用模糊语言变量描述的Bath指数和ASDAS指数。利用基于信念结构设计的模糊规则库来捕获这些参数与疾病状态之间的不确定性和非线性关系。基于规则的系统的推理是使用证据推理算法来实现的。基于预期效用的健康评分用于评估一段时间内的疾病活动并评估对治疗的反应。我们的工具在监视治疗反应以及解释临床试验中对治疗干预的反应方面可能特别有用。通过案例研究来说明所提出方法的应用。

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