基于R语言数据挖掘的叶天士通阳法用药规律

黄伟东 ,  廖佳 ,  蔡泽鹏 ,  刘腾 ,  曾宪峰 ,  张旭桥

科学技术与工程 ›› 2025, Vol. 25 ›› Issue (29) :12393-12398

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科学技术与工程 ›› 2025, Vol. 25 ›› Issue (29) :12393-12398 DOI: 10.12404/j.issn.1671-1815.2408131
医药、卫生

基于R语言数据挖掘的叶天士通阳法用药规律

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Medication Rules of Ye Tianshi's Tongyang Method Based on R Language Data Mining

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摘要

为了探讨清代著名医家叶天士通阳法的用药规律,通过检索中华医典中医家医论中所载叶天士关于通阳治法的医案,建立通阳法处方数据库,运用R Studio、VOSviewer、pajsks软件对数据进行描述性分析、关联规则分析及聚类分析。结果表明经过筛选共纳入92篇医案,删除重复性处方后共收集87首治疗处方,涉及131味药物,药物总频次为545次,频率最高的前15位药物是茯苓、附子、生姜、干姜、半夏、人参、桂枝、白芍、当归、厚朴、白术、肉苁蓉、熟地黄、泽泻、小茴香。性味归经特点显示,药性以温性最多,药味以辛味居前,归经以肾、肝、脾经为主。药物关联规则及共现规律提示茯苓-附子、茯苓-生姜、附子-干姜为通阳常用药对,同时聚类得到5类潜在药物群组。可见运用数据挖掘技术对叶天士通阳相关医案的挖掘有利于进一步传承通阳思想,为临床及文献研究提供参考。

Abstract

In order to explore the medication rules of the Tongyang method of Ye Tianshi, a famous physician of the Qing Dynasty, the medical cases of Ye Tianshi on Tongyang treatment contained in the Chinese Medical Code were searched to establish a prescription database of Tongyang method, and the data were analyzed by descriptive analysis, association rule analysis, and cluster analysis using R Studio, VOSviewer, and pajsks. The results show that a total of 92 medical cases are included after screening, and 87 therapeutic prescriptions are collected after deleting duplicates, involving 131 Chinese herbs, with a total frequency of 545 times, and the top 15 Chinese herbs with the highest frequency are Poria cocos, Radix et Rhizoma Pinelliae, Radix et Rhizoma Gingerae, Radix et Rhizoma Gingerae, Semen Haematocritus, Radix et Rhizoma Ginseng, Cinnamon twig, Radix Paeoniae Alba, Radix Angelicae Sinensis, Radix et Rhizoma Piperitiae, Atractylodes macrocarponis, Rhizoma Cistanches, Radix Rehmanniae Praeparata, Rhizoma Zedoariae and Cumin. The medicinal properties are mostly warm, the medicinal flavors are mostly spicy, and the kidney, liver and spleen meridians are the main meridians. The drug association rules and co-occurrence patterns suggested that Poria-anemarrhena, Poria-ginger, and anemarrhena-dry ginger are commonly used drug pairs for Tongyang, and five potential drug groups are also obtained by clustering. It revealed that the mining of medical cases related to Ye Tianshi's Tongyang using data mining technology is conducive to the further inheritance of the idea of Tongyang and provides a reference for clinical and literature research.

关键词

数据挖掘 / 叶天士 / 通阳法 / 中华医典

Key words

data mining / Ye Tianshi / Tongyang method / Chinese Medical Code

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黄伟东, 廖佳, 蔡泽鹏, 刘腾, 曾宪峰, 张旭桥. 基于R语言数据挖掘的叶天士通阳法用药规律[J]. 科学技术与工程, 2025, 25(29): 12393-12398 DOI:10.12404/j.issn.1671-1815.2408131
HUANG Wei-dong, LIAO Jia, CAI Ze-peng, LIU Teng, ZENG Xian-feng, ZHANG Xu-qiao. Medication Rules of Ye Tianshi's Tongyang Method Based on R Language Data Mining[J]. Science Technology and Engineering, 2025, 25(29): 12393-12398 DOI:10.12404/j.issn.1671-1815.2408131

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基金资助

深圳市龙岗区科创局项目(LGWJ2023-100)

龙岗区医学重点学科建设经费(2024-2027:25)

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