基于数据挖掘的中医药治疗恶性肿瘤高凝状态用药规律研究
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国家自然科学基金项目(81673797);北京市自然科学基金项目(7182142)


Medication Rules of Traditional Chinese Medicine in the Treatment of Hypercoagulable State of Malignant Tumors Based on Data Mining
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    摘要:

    目的:运用数据挖掘方法探索中医药治疗恶性肿瘤高凝状态临床用药规律及特点。方法:检索国家知识基础设施数据库(CNKI)、中国学术期刊数据库(CSPD)、中文科技期刊数据库(CCD)中有关中医药治疗恶性肿瘤高凝状态的研究,提取基本信息建立数据库,进行药物频次统计、药物四气五味及归经分析、关联规则和系统聚类分析。结果:共纳入文献60篇,涉及有效处方61首,涵盖中药173种。高频药物包括当归、黄芪、川芎、甘草等,药性以温、寒、平为主,药味多为甘、苦、辛味,归经以肝、脾、肺经居多;通过关联规则分析得到22条二项关联;聚类分析得到4组药物组合。结论:中医药治疗恶性肿瘤高凝状态组方侧重益气补血及活血化瘀法的使用,重视通补兼施,祛邪的同时强调固护正气。

    Abstract:

    To explore the clinical medication rules and characteristics of traditional Chinese medicine(TCM) in the treatment of the hypercoagulable state of malignant tumors based on data mining.Methods:The research articles on TCM in the treatment of the hypercoagulable state of malignant tumors were retrieved from CNKI,CSPD,and CCD,and basic information was extracted to establish a database.Drug frequency statistics,analysis of four qi properties,five flavors,and meridian tropism,association rule analysis,and system cluster analysis were carried out.Results:Sixty research articles were included,involving 61 effective prescriptions and 173 drugs.High-frequency drugs included Angelicae Sinensis Radix,Astragali Radix,Chuanxiong Rhizoma,and Glycyrrhizae Radix et Rhizoma.The drugs were warm,cold,and plain in nature and sweet,bitter,and pungent in flavor,acting on the liver,spleen,and lung meridians.Through the analysis of association rules,22 binomial associations were obtained.The Cluster analysis yielded four drug combinations.Conclusion:TCM treatment of the hypercoagulable state of malignant tumors focuses on the principles of nourishing qi,tonifying blood,activating blood,and resolving blood stasis,highlights both dredging and invigorating methods,and emphasizes strengthening and protecting healthy qi while eliminating pathogenic factors.

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刘槟,何杰,燕晓茹,张培彤.基于数据挖掘的中医药治疗恶性肿瘤高凝状态用药规律研究[J].世界中医药,2023,(09).

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  • 收稿日期:2021-09-27
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  • 在线发布日期: 2023-05-22
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