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Exploring associated rules of Danggui in traditional Chinese medicine through text mining

机译:通过文本挖掘探索当归中药的相关规则

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Single Chinese herbal medicine is the basic element in traditional Chinese medicine's clinical treatment against disease. Then, it is an interesting and meaningful task to acquire knowledge of a single Chinese herbal medicine within the framework of traditional Chinese medicine (TCM). In this paper, based on the knowledge of TCM, we explored the association rules of Danggui (Angelica sinensis in Latin). These associated rules include Danggui—TCM syndrome/pattern, Danggui—disease, Danggui—symptom, Danggui—TCM herbal formula, and Danggui—Chinese herbal medicines. Through text mining, these rules can be demonstrated in different networks. These associated networks represent a variety of knowledge points and most of them can be validated in textbooks of traditional Chinese medicines. Thus, these results might be useful for both clinical practice and medical research, and the approach provides a novel way in exploring associated rules of single Chinese herbal medicine within the framework of traditional Chinese medicine.
机译:单一中草药是中医药抗病治疗的基本要素。然后,在中医药(TCM)的框架内获得单一中草药的知识是一项有趣而有意义的任务。本文基于中医知识,探讨了当归(拉丁语Angelica sinensis)的关联规则。这些相关规则包括当归(TCM)综合征/模式,当归(疾病),当归(症状),当归(TCM)草药配方和当归(中药)。通过文本挖掘,可以在不同的网络中演示这些规则。这些相关联的网络代表了各种知识点,并且大多数知识点都可以在中医教科书中得到验证。因此,这些结果对于临床实践和医学研究均可能是有用的,并且该方法提供了一种新颖的方式来探索传统中草药框架内单一中草药的相关规则。

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