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Evaluation of Cold Syndrome Types based on Cosine Similarity and its application in intelligent diagnosis of TCM

机译:基于余弦相似性的冷综合征类型评价及其在TCM智能诊断中的应用

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In this paper, an automatic evaluation method of Cold Syndrome Types is proposed based on the method of Cosine Similarity. The method consists of the creation of a standard cold case database, the separation of input cold cases, synonym replacement and quadruple structured processing, quadruple weight assignment and similarity calculation. On the basis of Cold Syndrome Types evaluation, we further propose a learning and elimination mechanism for the standard cold case database, which improves the computing efficiency of the algorithm to a certain extent. It is showed in the experiments that the method can be used to initially assess the Cold Syndrome Types through the four aspects of Observing, Smelling, Consulting and Pulse-talking, which is of high value and significance as an auxiliary support for intelligent TCM diagnosis.
机译:本文提出了一种基于余弦相似性方法的冷综合征类型的自动评估方法。 该方法包括创建标准的冷箱数据库,分离输入冷箱,同义词替换和四重结构处理,四重重量分配和相似性计算。 在冷综合征类型评估的基础上,我们进一步提出了标准冷箱数据库的学习和消除机制,这提高了算法的计算效率。 在实验中显示,该方法可用于最初通过观察,嗅觉,咨询和脉搏通话的四个方面来评估冷综合征类型,这与智能中医诊断的辅助支持具有高价值和重要性。

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