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基于数据挖掘分析清热剂中成药用药规律

Analysis on the Medication Law of Chinese Patent Medicines with Heat-clearing Prescriptions Based on Data Mining
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摘要 目的基于数据挖掘分析2020年版《中华人民共和国药典》药品功效分类属于清热剂中成药的用药规律,为临床辨证用药提供参考。方法筛选整理2020年版《中华人民共和国药典》所收录的清热剂中成药,运用中医传承辅助平台2.5统计清热剂中成药用药频次、性味归经,并进行关联规则分析、聚类分析。结果共纳入172首中成药处方,涉及348味中药,用药频次≥10的中药有32味,前3位为黄芩、甘草和冰片;药性以寒性、温性为主,药味以苦味、辛味和甘味为主,归经以肺经、胃经、心经和肝经为主;支持度设为0.10时,得到核心药对8对,其中出现频次最多、置信度最高药对为黄芩-栀子;聚类分析得到14个核心药物组合和7个潜在新方。结论清热剂中成药的核心药物组合主要由苦辛味、寒性、归肺心经中药组成,功效以清热解毒、泻火解毒为主。 Objective To analyze the medication law of Chinese patent medicines with heat-clearing prescriptions included in Chinese Pharmacopeia(2020 edition)by means of data mining;To provide references for medication in clinical syndrome differentiation.Methods Chinese patent medicines with heat-clearing prescriptions in Chinese Pharmacopeia(2020 edition)were screened and sorted out.TCM Inheritance Assistance Platform 2.5 was used to analyze the data of the frequency,the four properties and five tastes,the meridian tropism of Chinese patent medicines with heat-clearing prescriptions.Association rule analysis and clustering analysis were conducted.Results Totally 172 prescriptions of Chinese patent medicines were included,involving 348 kinds of Chinese materia medica.There were 32 kinds of Chinese materia medica with the frequency≥10,and the top three were Scutellariae Radix,Glycyrrhizae Radix et Rhizoma and Borneolum Syntheticum;the main properties were cold and warm,the main tastes were bitter,pungent and sweet,and the main meridians were lung,stomach,heart and liver meridians;when the support was set to 0.10,8 pairs of core drug pairs were obtained,among which the most frequent and confident drug pair was Scutellariae Radix-Gardeniae Fructus;clustering analysis yielded 14 core drug combinations and 7 potential new prescriptions.Conclusion Core drug combination of Chinese patent medicines with heat-clearing is mainly consists of medicines with bitter and pungent tastes,cold property,and lung and heart,and the main efficacy is clearing heat and detoxifying,reducing fire and detoxifying.
作者 林石明 梁邦就 唐银燕 黄金莲 孔志薇 陆少雁 陆嫦萍 LIN Shiming;LIANG Bangjiu;TANG Yinyan;HUANG Jinlian;KONG Zhiwei;LU Shaoyan;LU Changping(Yunfu Hospital of Traditional Chinese Medicine,Yunfu 527300,China)
机构地区 云浮市中医院
出处 《中国中医药图书情报杂志》 2024年第6期83-87,共5页 Chinese Journal of Library and Information Science for Traditional Chinese Medicine
基金 云浮市医学科学技术研究面上项目(2022B021)。
关键词 数据挖掘 清热剂 中华人民共和国药典 中成药 用药规律 data mining heat-clearing prescriptions Chinese Pharmacopoeia Chinese patent medicine medication law
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