• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[基于隐结构模型的名老中医治疗慢性支气管炎用药规律研究]

[Medication rules of famous veteran traditional Chinese medicine doctor in treatment of chronic bronchitis based on implicit structure model].

作者信息

Chen Li-Ping, Cai Yong-Min, Li Jian-Sheng

机构信息

Zhang Zhongjing College of Chinese Medicine, Nanyang Institute of Technology, Nanyang 473004, China.

Institute of Literature in Chinese Medicine, Nanjing University of Chinese Medicine, Nanjing 210046, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2017 Apr;42(8):1609-1616. doi: 10.19540/j.cnki.cjcmm.2017.0052.

DOI:10.19540/j.cnki.cjcmm.2017.0052
PMID:29071870
Abstract

To explore the medication rules of famous veteran traditional Chinese medicine (TCM) doctors in treatment of chronic bronchitis, a structured medical record database for famous veteran TCM doctors in modern clinical books was established. First, Lantern 3.1.2(Kongmin light) implicit structure analysis software was used to build an implicit structure model and make an implicit interpretation. Then, SAS 9.1 was adopted to mine herb-herb, herb-symptom and herb-syndrome association rules. Through the mining, 1 274 commonly used herbs for chronic bronchitis were found, including liquorice, bitter almond, pinellia, dried tangerine or orange peel, poria cocos. The medicine types included antiasthmatic medicine, qi-tonifying medicine, and heat-phlegm removing medicine. The medicine tastes included sweet, pungent and bitter. The meridian distributions included lung, spleen and stomach channels. The famous commonly used prescriptions included Xiaoqinglong decoction, Maxing Shigan decoction and Erchen decoction. The 147-herb implicit structure model for the first diagnosis was built to get 44 hidden variables, 88 hidden classes, 7 comprehensive clustering models, 9 dual herb associations, 50 triple herb associations and 89 quadruple associations. Totally 297 medical records for the second diagnosis were compared to obtain 24 herb-symptom associations, which reduced ephedra, bitter almond, pinellia and added poria cocos, atractylodes, dangshen, 20 dual herb associations and 8 triple herb associations. A model for the top 83 symptoms and top 96 herbs in the first diagnosis was built to get 50 hidden variables and 101 hidden classes. The commonly used herbs of famous veteran TCM doctors included bitter almond, pinellia, dried tangerine or orange peel, poria cocos, which feature mild property and sweet favor and enter lung, spleen, kidney meridians; the commonly herbal pairs included atractylodes and poria cocos, asarum, fructus schisandrae and pinellia, as well as poria cocos, dangshen, pinellia and dried tangerine or orange peel. The herb-syndrome associations involved ephedra, bitter almond, cassia twig and scanty sputum, pinellia and external cold and internal fluid syndrome, turbid phlegm obstructing lung syndrome and spleen deficiency syndrome, bitter almond and turbid phlegm obstructing lung syndrome, phlegm-heat accumulated in the lung and wind-cold invading the lung. The implicit structure model can be used to quantify tacit knowledge of TCM, extend to the herb and syndrome level for the first time, and quantify the major, minor and compatible statues of different variables in the same data. This study concluded that the medication rules of famous veteran TCM doctors in treatment of chronic bronchitis have certain reference value for the clinical diagnosis and treatment. The data sources, analysis methods and mining results were relatively reliable and objective, and can provide a reference for rules of other disease treatment based on syndrome differentiation.

摘要

为探讨名老中医治疗慢性支气管炎的用药规律,建立了现代临床医案中名老中医结构化医案数据库。首先,运用兰灯3.1.2(孔明灯)隐性结构分析软件构建隐性结构模型并进行隐性诠释。然后,采用SAS 9.1挖掘药-药、药-症、药-证关联规则。通过挖掘,发现治疗慢性支气管炎常用中药1274味,包括甘草、苦杏仁、半夏、陈皮、茯苓等。药物类别有平喘药、补气药、清热化痰药等。药味包括甘、辛、苦。经络分布包括肺经、脾经和胃经。名老中医常用方剂有小青龙汤、麻杏石甘汤、二陈汤等。构建初诊147味中药隐性结构模型,得到44个隐藏变量、88个隐藏类别、7个综合聚类模型、9个药对关联、50个三味药关联和89个四味药关联。对297例复诊医案进行比较,得到24个药-症关联,减少了麻黄、苦杏仁、半夏,增加了茯苓、白术、党参,20个药对关联和8个三味药关联。构建初诊前83个症状和前96味中药模型,得到50个隐藏变量和101个隐藏类别。名老中医常用中药有苦杏仁、半夏、陈皮、茯苓等,其药性平和、味甘,归肺、脾、肾经;常用药对有白术与茯苓、细辛与五味子与半夏、茯苓与党参与半夏与陈皮等。药-证关联涉及麻黄、苦杏仁、桂枝与痰少,半夏与外寒内饮证、痰浊阻肺证、脾虚证,苦杏仁与痰浊阻肺证、痰热壅肺与风寒袭肺等。隐性结构模型可量化中医隐性知识,首次拓展到中药与证候层面,量化同一数据中不同变量的主次及配伍关系。本研究结论为名老中医治疗慢性支气管炎的用药规律对临床诊疗有一定参考价值。数据来源、分析方法及挖掘结果相对可靠、客观,可为其他辨证论治疾病的用药规律提供参考。

相似文献

1
[Medication rules of famous veteran traditional Chinese medicine doctor in treatment of chronic bronchitis based on implicit structure model].[基于隐结构模型的名老中医治疗慢性支气管炎用药规律研究]
Zhongguo Zhong Yao Za Zhi. 2017 Apr;42(8):1609-1616. doi: 10.19540/j.cnki.cjcmm.2017.0052.
2
[Study on medication laws of traditional Chinese medicine of 48 patients with coronavirus disease 2019 in intensive care unit based on data mining].基于数据挖掘的48例新型冠状病毒肺炎重症监护病房患者中医用药规律研究
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Oct;33(10):1175-1180. doi: 10.3760/cma.j.cn121430-20210826-01285.
3
[Study on drug properties and syndrome-symptom-formula-herb network of traditional Chinese medicine in treatment of effort angina pectoris based on data visualization].基于数据可视化的中医治疗劳力型心绞痛药物属性与证-症-方-药网络研究
Zhongguo Zhong Yao Za Zhi. 2020 Sep;45(18):4482-4489. doi: 10.19540/j.cnki.cjcmm.20200115.504.
4
[Regularity of prescriptions for intermediate and advanced lung cancer based on latent structure combined with association rules].基于潜在结构结合关联规则的中晚期肺癌用药规律研究
Zhongguo Zhong Yao Za Zhi. 2022 Jan;47(1):235-243. doi: 10.19540/j.cnki.cjcmm.20210722.501.
5
[Famous veteran traditional Chinese medicine doctors' medication rules in treating spermatorrhea].[名老中医治疗遗精的用药规律]
Zhongguo Zhong Yao Za Zhi. 2019 Mar;44(6):1266-1272. doi: 10.19540/j.cnki.cjcmm.20181128.002.
6
[Analysis of prescription and medication rules of traditional Chinese medicine in the treatment of the coronavirus disease 2019 based on traditional Chinese medicine inheritance support platform].基于中医传承辅助平台的2019冠状病毒病中医用药规律分析
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2022 May;34(5):454-458. doi: 10.3760/cma.j.cn121430-20210907-01342.
7
[Medication rules of Chinese herbs in treatment of H-type hypertension based on data mining].基于数据挖掘的中药治疗H型高血压用药规律研究
Zhongguo Zhong Yao Za Zhi. 2024 May;49(9):2522-2531. doi: 10.19540/j.cnki.cjcmm.20240117.501.
8
[Medication regularity of combination of traditional Chinese medicine and Western medicine in treating Helicobacter pylori-related gastropathy based on literatures].基于文献的中西医结合治疗幽门螺杆菌相关性胃病的用药规律研究
Zhongguo Zhong Yao Za Zhi. 2019 Nov;44(22):4985-4991. doi: 10.19540/j.cnki.cjcmm.20190401.501.
9
[Study on medication regularity of chronic atrophic gastritis in Beijing-Tianjin-Hebei region based on latent structure model].基于潜在结构模型的京津冀地区慢性萎缩性胃炎用药规律研究
Zhongguo Zhong Yao Za Zhi. 2020 Apr;45(7):1691-1697. doi: 10.19540/j.cnki.cjcmm.20200214.501.
10
[Cluster Analysis of Medication Laws for Treating Coronary Heart Disease by Distinguished Veteran Doctors of Traditional Chinese Medicine].[国医大师治疗冠心病用药规律的聚类分析]
Zhongguo Zhong Xi Yi Jie He Za Zhi. 2016 Apr;36(4):411-4.

引用本文的文献

1
Regulation of Fatty Acid Metabolism and Inhibition of Colorectal Cancer Progression by Erchen Decoction.二陈汤对脂肪酸代谢的调节作用及对结直肠癌进展的抑制作用
Evid Based Complement Alternat Med. 2023 Apr 10;2023:9557720. doi: 10.1155/2023/9557720. eCollection 2023.
2
Inosine: A broad-spectrum anti-inflammatory against SARS-CoV-2 infection-induced acute lung injury via suppressing TBK1 phosphorylation.肌苷:通过抑制TBK1磷酸化对SARS-CoV-2感染诱导的急性肺损伤具有广谱抗炎作用。
J Pharm Anal. 2023 Jan;13(1):11-23. doi: 10.1016/j.jpha.2022.10.002. Epub 2022 Oct 22.
3
Effects of Acupuncture and Rehabilitation Training on Limb Movement and Living Ability of Patients with Hemiplegia after Stroke.
针刺和康复训练对脑卒中后偏瘫患者肢体运动和生活能力的影响。
Behav Neurol. 2022 Apr 26;2022:2032093. doi: 10.1155/2022/2032093. eCollection 2022.
4
Chinese medicine for COVID-19: A protocol for systematic review and meta-analysis.用于治疗新型冠状病毒肺炎的中药:系统评价与Meta分析方案
Medicine (Baltimore). 2020 Jun 19;99(25):e20660. doi: 10.1097/MD.0000000000020660.
5
Xiaoqinglong decoction (a traditional Chinese medicine) combined conventional treatment for acute exacerbation of chronic obstructive pulmonary disease: A systematic review and meta-analysis.小青龙汤(一种中药)联合常规治疗慢性阻塞性肺疾病急性加重期:一项系统评价与Meta分析。
Medicine (Baltimore). 2020 Apr;99(14):e19571. doi: 10.1097/MD.0000000000019571.
6
Traditional Chinese medicine classic herbal formula Xiaoqinglong decoction for acute exacerbation of chronic obstructive pulmonary disease: A systematic review protocol.用于慢性阻塞性肺疾病急性加重期的中医经典草药方小青龙汤:一项系统评价方案
Medicine (Baltimore). 2018 Dec;97(52):e13761. doi: 10.1097/MD.0000000000013761.
7
Erchen Decoction Ameliorates Lipid Metabolism by the Regulation of the Protein CAV-1 and the Receptors VLDLR, LDLR, ABCA1, and SRB1 in a High-Fat Diet Rat Model.二陈汤通过调节高脂饮食大鼠模型中的蛋白CAV-1以及受体VLDLR、LDLR、ABCA1和SRB1改善脂质代谢。
Evid Based Complement Alternat Med. 2018 Oct 8;2018:5309490. doi: 10.1155/2018/5309490. eCollection 2018.