«上一篇/Previous Article|本期目录/Table of Contents|下一篇/Next Article»

《陕西中医药大学学报》[ISSN:2096-1340/CN:61-1501/R]

卷:

期数:

2023年05期

页码:

048-55

栏目:

理论探讨

出版日期:

2023-10-14

文章信息/Info

Title:

Research on Data Mining of Angelica Sinensis as a Relieving Exterior Drug Based on Ming and Qing Medical Cases

文章编号:

2096-1340(2023)05-0048-08

作者:

余苗苗¹ 薛露¹ 黄辉²杨芹³ 纪美艳¹ 李娟¹

1.安徽中医药大学，安徽 合肥 230012；
2.安徽中医药大学新安医学教育部重点实验室/ 教育部人文社科重点研究基地徽学研究中心安徽中医药大学分中心，安徽 合肥 230012；
3.金寨县人民医院，安徽 六安 237399

Author(s):

YU Miaomiao¹ XUE Lu¹ HUANG Hui²YANG Qin³JI Meiyan¹ LI Juan¹

1.Anhui University of Chinese Medicine,Hefei 230012,China;
2.Xin'an Medicine Key Laboratory of the Ministry of Education,Anhui University of Chinese Medicine,Key Research Base of Humanities and Social Sciences of the Ministry of Education Huizhou Research Center,Anhui University of Chinese Medicine Branch Center,Hefei 230012,China;
3.People's Hospital of Jinzhai County,Anhui Lu�餫n 237399,China

关键词:

关键词：当归; 辛温解表; 明清医案; 外感疾病; 数据挖掘

Keywords:

Key words： Angelica sinensis; Xinwen Jiebiao; Ming and Qing medical records; Exogenous diseases; Data mining

分类号:

R28

DOI:

10.13424/j.cnki.jsctcm.2023.05.008

文献标志码:

A

摘要:

摘 要：目的 通过数据挖掘对明清医案中外感疾病用药规律进行探讨分析，证明当归亦当为一味解表药使用。方法 搜集查阅明清医案书籍，从中选取治疗外感疾病医案，得到处方466首，使用Microsoft Excel 2016对处方药物进行频数、四气五味归经分析，应用IBM SPSS Modeler 18.0、Gephi、SPSS Statistics 25.0进行关联规则、复杂网络以及聚类分析。结果 共纳入466个处方，涉及中药316味，当归使用频次较高，2项关联得出当归与桂枝、白芍、甘草关系最为密切；复杂网络核心处方主要由桂枝汤、九味羌活汤加减组成；聚类分析共得到9组药物聚类组合。结论 明清医案中外感疾病多将当归与辛温解表药配伍使用，共奏解表散寒之效，以发挥当归补血调血兼辛温解表的双重功用，为治疗外感疾病提供了临床新思路。

Abstract:

Abstract： Objective To explore and analyze the medication patterns of exogenous diseases in medical records of the Ming and Qing dynasties through data mining,and to prove that Angelica sinensis should also be used as a relieving exterior drug.Methods Collect and consult medical records of the Ming and Qing dynasties,select medical records for treating exogenous diseases,and obtain 466 prescriptions.Use Microsoft Excel 2016 to analyze the frequency,four Qi and five flavors of prescription drugs,and use IBM SPSS Modeler 18.0,Gephi,and SPSS Statistics 25.0 for association rules,complex networks,and cluster analysis.Results A total of 466 prescriptions were included,involving 316 traditional Chinese drugs.Angelica sinensis was used more frequently,and the two associations showed that Angelica sinensis had the closest relationship with Cinnamon twig,White peony,and Licorice;The core prescription of complex networks mainly consists of Guizhi decoction and Jiuwei Qianghuo decoction;A total of 9 drug cluster combinations were obtained through cluster analysis.Conclusion In the medical records of the Ming and Qing dynasties,Angelica sinensis was often used in combination with Xinwen Jiebiao drug to achieve the effect of relieving external heat and dispersing cold,in order to exert the dual functions of Angelica sinensis in nourishing blood and regulating blood,as well as Xinwen Jiebiao,providing a new clinical approach for the treatment of exogenous diseases.

备注/Memo

备注/Memo:

基金项目：2020年安徽省高校协同创新项目 (GXXT-2020-037)

常用功能

更新日期/Last Update: 2023-09-22