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Standard Model Establishment of TCM Syndrome Differentiation of Type 2 Diabetes Based on Data-Mining

机译:基于数据挖掘的2型糖尿病TCM综合征分化的标准模型建立

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This paper explores a method for establishing diagnostic criterion of TCM (traditional Chinese medicine) syndrome differentiation by studying the set-up of diagnostic standard model of syndrome differentiation of Type 2 diabetes. We present, based on dynamic Kohonen network, the artificial neural net (ANN), fuzzy system (FS) that were used to build up adaptive fuzzy inference system model. The system was tested for its reliability via fisher-iris determination. Then with the help of this model the clinical data was studied, simultaneously, according to TCM basic theories. We obtained the diagnostic criterion of commonly-seen syndrome of Type 2 diabetes, whose rationality was verified by data check-up.
机译:本文通过研究2型糖尿病综合征分化的诊断标准模型,探讨了建立中医(中医)综合征分化的诊断标准的方法。我们在基于动态kohonen网络,人工神经网络(ANN),模糊系统(FS)的基础上,用于建立自适应模糊推理系统模型。通过Fisher-Iris测定测试其可靠性的系统。然后根据TCM基本理论,同时研究临床数据的临床数据。我们获得了2型糖尿病常见综合征的诊断标准,其合理性通过数据检查验证。

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