Chinese Medical Sciences Journal ›› 2022, Vol. 37 ›› Issue (3): 195-200.doi: 10.24920/004133

• 科学数据共享与重用: 论著 • 上一篇    下一篇

齐普夫定律对方剂的适用性研究

李园白,杜昱,刘方舟,张一颖,李萌,王静,李逸豪,杨阳*()   

  1. 中国中医科学院 中医药信息研究所/图书馆,北京 100700,中国
  • 收稿日期:2022-06-29 接受日期:2022-08-17 出版日期:2022-09-30
  • 通讯作者: 杨阳 E-mail:78860858@qq.com

Applicability of Zipf’s Law in Traditional Chinese Medicine Prescriptions

Yuanbai Li,Yu Du,Fangzhou Liu,Yiying Zhang,Meng Li,Jing Wang,Yihao Li,Yang Yang*()   

  1. Institute of Information on Traditional Chinese Medicine/Library, China Academy of Chinese Medical Sciences, Beijing 100700, China
  • Received:2022-06-29 Accepted:2022-08-17 Published:2022-09-30
  • Contact: Yang Yang E-mail:78860858@qq.com

摘要:

目的 方剂应用在中国有数千年的历史。在组成方剂的数味中药中,有些中药为常用药,值得被进一步研究,但始终没有明确的界限区别常用药与不常用药。本研究旨在明确方剂中的中药分布是否符合齐普夫定律,并根据中药信息齐普夫分布情况,获得常用中药的分界临界值。
方法 共采集84,418首方剂信息。首先预处理方剂中的中药信息,其次分析了中药的分布是否符合齐普夫定律及齐普夫分布,最后进行了线性拟合实验进一步证明中药的频次与排序之间是否存在关系。
结果 方剂中的中药分布符合齐普夫定律及分布。本研究根据分布曲线获得了常用中药与不常用中药分界的临界值。
结论 齐普夫定律适用于方剂信息的分析。

关键词: 齐普夫定律, 传统中药, 方剂

Abstract:

Objective Traditional Chinese medicine (TCM) prescriptions have been used to cure diseases in China for thousands of years, in which many TCM herbs have no definite common quantity. Some key TCM herbs are commonly used and thus deserve in-depth investigations based on a more acceptable classification method. This study analyzes whether TCM prescriptions follow Zipf’s law and attempts to obtain the thresholds of key TCM herbs based on the application of Zipf’s law.
Methods A total of 84,418 TCM prescriptions were collected and standardized. We tested whether Zipf’s law and Zipf’s distribution fit the Chinese herb distributions. A linear fitting experiment was performed to verify the relationship between the frequency distribution and frequency of TCM herbs.
Results The distribution of TCM herbs in TCM prescriptions conformed to Zipf’s law. Accordingly, the thresholds were obtained for the key TCM herbs.
Conclusion The distribution of TCM herbs in TCM prescriptions follows Zipf’s law.

Key words: Zipf’s law, traditional Chinese medicine, prescriptions, herb

基金资助: 中国中医科学院创新工程重大攻关项目“面向大数据的方药分解功效预测模型研究”(CI2021A00508)

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