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A fuzzy-based methodology for the analysis of diabetic neuropathy

机译:基于模糊的糖尿病神经病学分析方法

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摘要

A new model for the fuzzy-based analysis of diabetic neuropathy is illustrated, whose pathogenesis so far is not well known. The underlying algebraic structure is a commutative l-monoid, whose support is a set of classifications based on the concept of linguistic variable introduced by Zadeh. The analysis is carried out by means of patient's anagraphical and clinical data, e.g. age, sex, duration of the disease, insulinic needs, severity of diabetes, possible presence of complications. The results obtained by us are identical with medical diagnoses. Moreover, analyzing suitable relevance factors one gets reasonable information about the etiology of the disease, our results agree with most credited clinical hypotheses.
机译:说明了一种基于模糊分析的糖尿病神经病变的新模型,迄今为止其发病机理尚不清楚。底层的代数结构是可交换的l-monoid,其支持是基于Zadeh引入的语言变量概念的一组分类。该分析是通过患者的解剖学和临床数据进行的。年龄,性别,疾病持续时间,胰岛素需求,糖尿病严重程度,可能存在并发症。我们获得的结果与医学诊断相同。此外,通过分析合适的相关因素,可以获得有关该疾病病因的合理信息,我们的结果与大多数公认的临床假设相符。

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