首页> 外文会议> >Standard Model Establishment of TCM Syndrome Differentiation of Type 2 Diabetes Based on Data-Mining
【24h】

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型糖尿病中医辨证标准模型建立

获取原文

摘要

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:通过研究2型糖尿病的中医辨证标准模型的建立,探索建立中医辨证标准的方法。我们提出基于动态Kohonen网络的人工神经网络(ANN),模糊系统(FS),用于建立自适应模糊推理系统模型。通过fisher-iris确定对系统进行了可靠性测试。然后,根据中医基础理论,在该模型的帮助下,同时研究了临床数据。我们获得了常见的2型糖尿病综合征的诊断标准,其合理性已通过数据检查得到了证实。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号