[1]徐小港,王钰,徐义峰,等.基于数据挖掘的痛经用药规律研究[J].西部中医药,2024,37(02):99-103.[doi:10.12174/j.issn.2096-9600.2024.02.19]
　XU Xiaogang,WANG Yu,XU Yifeng,et al.Study on Medication Rule of Dysmenorrhea Based on Data Mining[J].Western Journal of Traditional Chinese Medicine,2024,37(02):99-103.[doi:10.12174/j.issn.2096-9600.2024.02.19]
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基于数据挖掘的痛经用药规律研究
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《西部中医药》[ISSN:2096-9600/CN:62-1204/R]

卷:
37
期数:
2024年02期
页码:
99-103
栏目:
二次研究
出版日期:
2024-02-15

文章信息/Info

Title:
Study on Medication Rule of Dysmenorrhea Based on Data Mining
作者:
徐小港1, 王钰1, 徐义峰1, 董辛2, 周聪慧2, 章德林1
1.江西中医药大学，江西 南昌 330004
2.南昌医学院，江西 南昌 330004
Author(s):
XU Xiaogang1, WANG Yu1, XU Yifeng1, DONG Xin2, ZHOU Conghui2, ZHANG Delin1
1.Jiangxi University of Chinese Medicine, Nanchang 330004, China
2.Nanchang Medical College, Nanchang 330004, China
关键词:
痛经; 数据挖掘; 用药规律; 中医方剂大辞典
Keywords:
dysmenorrhea; data mining; medication rules; the dictionary of TCM prescriptions
分类号:
R271.11+3
DOI:
10.12174/j.issn.2096-9600.2024.02.19
文献标志码:
A
摘要:
目的基于数据挖掘技术分析《中医方剂大辞典》中治疗痛经方剂的用药规律。 方法根据纳入与排除标准筛选出《中医方剂大辞典》中治疗痛经的方剂，对其进行方药名称规范，运用Excel、IBM SPSS Modeler 18.0、IBM SPSS Statistics 26.0等进行频数统计、关联规则分析、聚类分析及因子分析。 结果共纳入151首治疗痛经的方剂，涉及中药191味；其中出现频次≥10的中药为当归、川芎、延胡索、白芍、香附、甘草等共36味，药效以补虚药、活血化瘀药、理气药为主，药性偏温、寒、平，药味则偏辛、苦、甘，多入肝、脾、心经。选取出现频次≥25的13味高频药物进行关联规则分析，得到“当归-川芎”“当归-香附-川芎”“当归-熟地黄-白芍-川芎”等常用药对21组，并通过提升关联规则的支持度得到“当归-川芎-白芍”核心组合。进行高频药物聚类分析得出4类药物组合，C1：白芍、熟地黄、川芎、当归；C2：牡丹皮、茯苓；C3：香附、甘草；C4：桃仁、红花，因子分析得到5个公因子。 结论《中医方剂大辞典》中治疗痛经以补血活血、化瘀散结、疏肝理气为主。
Abstract:
ObjectiveTo analyze the medication rules of the prescriptions for treating dysmenorrhea in the dictionary of TCM prescriptions based on data mining. MethodsAccording to the inclusion and exclusion criteria, the prescriptions for dysmenorrhea were screened out from dictionary of TCM prescriptions, and to standardize the names of the prescriptions, Excel, IBM SPSS Modeler 18.0 and IBM SPSS Statistics 26.0 were applied to carry out the frequency statistics, association rules analysis, cluster analysis and factor analysis. ResultsThe study included 151 prescriptions for dysmenorrhea, and involved 191 herbs; among them, there were 36 herbs with the frequency of occurrence≥10, containing Danggui (Angelicae sinensis radix), Chuanxiong (Chuanxiong Rhizoma), Yanhusuo (Corydalis Rhizoma), Baishao (Paeoniae radix alba), Xiangfu (Cyperi Rhizoma) and Gancao (Glycyrrhizae radix rhizoma), which could tonify the deficiency, promote blood circulation and remove stasis, and regulate Qi mainly, the nature of these medicines is slightly warm, cold and neutral, and the taste is pungent, bitter and sweet, and they entering the meridians of liver, spleen and heart. The commonly-used drug pairs were yielded including "Danggui-Chuanxiong" "Danggui-Xiangfu-Chuanxiong" "Danggui-processed Dihuang-Baishao-Chuanxiong" by conducting the association rule analysis of 13 high-frequency medicines with the frequency≥25, meanwhile the core drug combination "Danggui-Chuanxiong-Baishao" was gained by enhancing the degree of support of association rules. Four drug combinations were obtained by performing cluster analysis of high-frequency medicines, C1: Baishao, processed Dihuang, Chuanxiong and Danggui; C2: Mudanpi (Moutan cortex) and Fuling(Poria); C3: Xiangfu and Gancao; C4: Taoren (Persicae semen) and Honghua (Carthami flos), factor analysis yielded five metric factors. ConclusionThe treatment of dysmenorrhea in the dictionary of TCM prescriptions adopts enriching blood and promoting blood circulation, removing blood stasis and dispelling the lump, soothing liver and regulating Qi as the main one.

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备注/Memo

备注/Memo:
徐小港（1989—），男，博士学位，讲师。研究方向：中医药文献研究。中医药古籍文献和特色技术传承专项（GZY-KJS-2021-034）；江西中医药大学首批校级科技创新团队（CXTD22016）。
更新日期/Last Update: 2024-02-15