Analysis of drug-prescribing regularity of Professor Liu Qing-quan in treatment on bronchiectasis by TCM based data mining

CHEN Yi-shan; LIU Qing-quan; ZHANG Shu-wen; QU Yong-long; ZHAO Guo-zhen; LU You-ran

doi:10.16025/j.1674-1307.2021.11.027

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Analysis of drug-prescribing regularity of Professor Liu Qing-quan in treatment on bronchiectasis by TCM based data mining

更新时间：2023-04-10

- Analysis of drug-prescribing regularity of Professor Liu Qing-quan in treatment on bronchiectasis by TCM based data mining
- Beijing Journal of Traditional Chinese Medicine Vol. 40, Issue 11, Pages: 1267-1270(2021)
- 作者机构：
  
  1. 北京中医药大学
  2. 首都医科大学附属北京中医医院
  3. 首都医科大学附属北京中医医院呼吸科
- 作者简介：
- 基金信息：
- DOI：10.16025/j.1674-1307.2021.11.027
  CLC：
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CHEN Yi-shan, LIU Qing-quan, ZHANG Shu-wen, et al. Analysis of drug-prescribing regularity of Professor Liu Qing-quan in treatment on bronchiectasis by TCM based data mining. [J]. Beijing Journal of Traditional Chinese Medicine 40(11):1267-1270(2021)
DOI：

CHEN Yi-shan, LIU Qing-quan, ZHANG Shu-wen, et al. Analysis of drug-prescribing regularity of Professor Liu Qing-quan in treatment on bronchiectasis by TCM based data mining. [J]. Beijing Journal of Traditional Chinese Medicine 40(11):1267-1270(2021) DOI： 10.16025/j.1674-1307.2021.11.027.

摘要

目的基于数据挖掘分析刘清泉教授治疗支气管扩张症的用药规律。方法从首都医科大学附属北京中医医院门诊HIS系统查询2012年3月—2020年1月刘清泉教授的门诊支气管扩张症医案数据,用Microsoft Excel 2007建库,用SPSS 21.0软件进行中药频次剂量、中药性味归经频次、聚类、关联、复杂网络分析。结果共纳入178张处方。高频次药物以补气健脾理气、清热燥湿化痰、润肺养阴生津、清肺止咳排脓、活血为主。温、寒为主,偏甘、苦、辛,主入胃、肺、肝。得到了5组药物聚类和以炙甘草为中心的四级中药网络图。结论刘清泉教授临床治疗支气管扩张症以补脾胃泻阴火升阳汤、千金苇茎汤、麻杏石甘汤为主,同时药专力宏,药少而精。

Abstract

关键词

支气管扩张症用药规律数据挖掘刘清泉

Keywords

支气管扩张症用药规律数据挖掘刘清泉

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