主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

北京中医药大学学报 ›› 2019, Vol. 42 ›› Issue (8): 691-696.doi: 10.3969/j.issn.1006-2157.2019.08.014

• 临床研究 • 上一篇    下一篇

基于通阳理论的新安王氏内科脾胃病用药规律数据挖掘研究*

齐卓操1; 王键2#; 郭锦晨2; 高兵2; 纵艳平2; 张佩文2   

  1. 1 南京中医药大学基础医学院 江苏 210023;
    2 安徽中医药大学
  • 收稿日期:2019-02-12 出版日期:2019-08-30 发布日期:2019-09-04
  • 通讯作者: 王键,男,教授,博士生导师,主要研究方向:中医药防治心脑血管疾病、新安医学研究,E-mail:wangjian6301@163.com
  • 作者简介:齐卓操,女,在读硕士生
  • 基金资助:
    *“十二五”国家科技支撑计划资助项目(No.2012BAI26B0),国家中医药管理局建设资助项目(No.2012-228),安徽中医药大学大学生创新创业资助项目(No.2018120)

Medication regularity of Xin’an Wang’s internal medicine in treatment of spleen-stomach diseases: a data mining study based on unblocking yang theory*

Qi Zhuocao1, Wang Jian2#, Guo Jinchen2, Gao Bing2, Zong Yanping2, Zhang Peiwen2   

  1. 1 School of Basic Medicine, Nanjing University of Chinese Medicine, Jiangsu 210023, China;
    2 Anhui University of Chinese Medicine, Anhui 230038, China
  • Received:2019-02-12 Online:2019-08-30 Published:2019-09-04
  • Contact: Prof. Wang Jian, Doctoral supervisor. School of Traditional Chinese Medicine, Anhui University of Chinese Medicine, No. 103, Meishan Road, Shushan District, Hefei 230038. E-mail: wangjian6301@163.com

摘要: 目的 基于数据挖掘技术,研究新安王氏内科脾胃病处方用药规律。方法 应用Microsoft Excel 2010建立数据库,采用IBM SPSS Modeler 14.1中频繁项集算法进行关联规则分析,通过IBM SPSS Statistics 21予以因子分析。结果 共研究688例处方,涉及药物365种。单味药以茯苓、枳壳、半夏的使用频次最高,对药以半夏-枳壳、茯苓-佩兰、瓜蒌-半夏的使用频次最高;寒性与温性,味苦、味甘,以及归脾(胃)、肺(大肠)经的中药使用最为频繁;关联规则发现最常用药对有3组;通过因子分析共提取出13个公因子。结论 新安王氏内科治疗脾胃病以理气通阳散结法为治疗大法,以瓜蒌薤白半夏汤为基础方,以理气运脾、散结和胃为核心,重温补,倡轻灵;佐以清热利湿、宣畅气机,温阳活血、益气通脉等法,以调和阴阳、补偏救弊。

关键词: 新安王氏内科, 脾胃病, 用药规律, 数据挖掘, 因子分析

Abstract: Objective To study the formula design and medication regularity for spleen-stomach diseases in Xin’an Wang’s internal medicine based on data mining technology. Methods A database was established by using Microsoft Excel 2010. The association rule analysis was conducted by using frequent itemset algorithm in IBM SPSS Modeler 14.1, and factor analysis was conducted by using IBM SPSS Statistics 21. Results A total of 688 formulas were studied involving 365 medicinals. The administrative times of Fuling (Indian Bread, Poria), Zhiqiao (Bitter Orange, Fructus Aurantii) and Banxia (Pinellia Tuber, Rhizoma Pinelliae) were the highest in single medicinal, and those of Banxia-Zhiqiao, Fuling-Peilan (Eupatorium, Herba Eupatorii) and Gualou (Trichosanthes fruit, Fructus Trichosanthis)-Banxia were the highest in couplet medicinals. The medicinals with cold and warm natures, bitter and sweet flavors, and those enter the meridians of spleen (stomach) and lung (large intestine) were administrated the most frequently. The association rule analysis found 3 groups of the most common couplet medicinals, and there were 13 common factors were extracted by factor analysis. Conclusion Xin’an Wang’s internal medicine takes therapies of regulating qi, freeing yang and dissipating binds as major methods in treatment of spleen-stomach diseases, and takes Gualou Xiebai Banxia Tang (Trichosanthes fruit, Macrostem Onion and Pinellia Tuber Decoction) as a basic formula. The therapeutic methods take regulating qi, promoting spleen, dissipating binds and harmonizing stomach as cores, and pay attention to warm tonification and light formulas. And the therapeutic methods of clearing heat and draining dampness, diffusing qi movement, warming yang and activating blood, and tonifying qi and unblocking vessels were used for regulating yin and yang and remedying defects.

Key words: Xin’an Wang’s internal medicine, spleen-stomach diseases, medication regularity, data mining, factor analysis

中图分类号: 

  • R256.3