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基于数据挖掘的《中华医典》消渴病证治规律研究 被引量:1

Law of Syndrome Differentiation of Diabetes Recorded in Chinese Medical Classics Based on Data Mining
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摘要 目的:探讨中医古籍中消渴病的证候分布、治法特点和用药规律等。方法:以《中华医典》从先秦到明清时期治疗消渴病的文献为数据源,基于古今医案云平台(V2.3.5),利用多种方法挖掘消渴病的证治思路及用药规律。结果:共纳入993条文献,药物497味。得到7个核心证候社团和5个治法社团,前3位分别为热盛阴虚(26.21%)、气阴两虚证(11.70%)和肾阴虚证(9.57%),最常用的治法为清热养阴(15.3%)、益气养阴(11.1%)、滋补肾阴(5.2%)。得到高频药物20味,依次是麦冬、甘草、人参、茯苓等;药物以寒、平、甘为主,归经以肺、肾、胃、脾为主;配伍频次较高的依次为人参-麦冬、天花粉-麦冬、人参-甘草等。得到中药聚类3组;中药社团3个;配伍规律50条。结论:热盛阴虚、气阴两虚、肾阴虚证为消渴病的常见证型,清热养阴、滋阴补肾、健脾益气法及相应中药在治疗消渴病中较为常用。另外,利用数据挖掘技术从多层次、多角度挖掘和分析古代文献,为现代临床治疗糖尿病提供可靠的理论依据和技术支撑。 Objective:This paper aims to analyze the syndromes,treatment characteristics,and medication rules of diabetes recorded in ancient books.Methods:Chinese Medical Classics,which recorded literature on the treatment of diabetes from the pre-Qin Dynasty to the Ming and Qing Dynasties,was taken as the data source.Based on the cloud platform of ancient and modern medical records(V2.3.5),various methods were used to explore the syndrome differentiation ideas and medication rules of diabetes.Results:A total of 993 literature and 497 drugs were included.Seven core syndromes and five treatment methods were obtained.The top three with the highest proportions were heat excess and yin deficiency(26.21%),Qi and yin deficiency(11.70%),and kidney yin deficiency(9.57%),and the most commonly used treatment methods were clearing heat and nourishing yin(15.3%),supplementing qi and nourishing yin(11.1%),and nourishing kidney yin(5.2%).Through frequency analysis,20 commonly used drugs were selected.They were ophiopogon japonicus,licorice,ginseng,poria cocos,etc;the drugs are mainly cold,mild-natured,and sweet,entering the lung,kidney,stomach,and spleen meridian.The compatibility of drugs commonly used for diabetes included ginseng-ophiopogon japonicus,trichosanthin-ophiopogon japonicus,ginseng-licorice,etc.Three clusters of traditional Chinese medicine,three traditional Chinese medicine combinations,and 50 compatibility rules were obtained.Conclusion:Heat excess and yin deficiency,Qi and yin deficiency,and kidney yin deficiency are the common syndrome types of diabetes.Clearing heat and nourishing Yin,nourishing yin and tonifying kidney,strengthening spleen and Qi,and traditional Chinese medicine with corresponding effects are commonly used in the treatment of diabetes.In addition,data mining technology can be used to mine and analyze ancient literature from multiple levels and angles,so as to provide a reliable theoretical basis and technical support for the modern clinical treatment of diabetes.
作者 田甜 高思华 张诗扬 赵丹丹 徐冰蕊 赵智宇 郭凤英 TIAN Tian;GAO Sihua;ZHANG Shiyang;ZHAO Dandan;XU Bingrui;ZHAO Zhiyu;GUO Fengying(School of Traditional Chinese Medicine,Beijing University of Traditional Chinese Medicine,Beijing 100029,China;School of Management,Beijing University of Traditional Chinese Medicine,Beijing 100029,China)
出处 《世界中医药》 CAS 2023年第23期3433-3443,共11页 World Chinese Medicine
基金 国家中医药管理局中医药传承与创新“百千万”人才工程:国家中医药领军人才支撑计划-岐黄学者项目(1040063321005) 北京中医药大学2021年度基本科研业务费项目中医经典理论挖掘与传承专项(2021-JYB-ZYWJCC005) 北京中医药大学科研纵向发展基金项目(2021-ZXFZJJ-046)。
关键词 《中华医典》 古今医案云平台 消渴病 证候 用药规律 证治规律 数据挖掘 Chinese Medical Classics Cloud platform of ancient and modern medical records Diabetes Syndrome Medication law Syndrome differentiation law Data mining
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