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基于数据挖掘技术分析针灸治疗痛经的经穴规律 被引量:15

Analysis of Meridians and Acupoints Rules in Acupuncture Treatment of Dysmenorrhea Based on Data Mining
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摘要 目的:分析并总结针灸治疗痛经的选穴共性和规律。方法:采用以"痛经""经行腹痛""针刺""针灸"为主题词加关键词的检索方式,收集中国期刊全文数据库(CNKI)、中国生物医学文献数据库(CBM)、万方数据库、维普数据库、Medline数据库中针刺治疗痛经的临床文献,用Excel 2003软件建立治疗痛经针灸处方主穴数据库,运用数据挖掘技术中的关联规则方法和聚类方法,分析针灸处方用穴的特点和规律。结果:总纳入针灸处方114条,使用频次最高的穴位、经络和部位分别为三阴交、足太阴脾经和下肢膝部及膝部以下,关联规则结果显示置信度最高的穴位组合为三阴交-太冲,支持度最高的穴位组合是三阴交-关元,聚类分析结果显示存在3个有效聚类群。结论:临床治疗痛经可以使用三阴交-太冲-关元组合,并结合具体情况搭配足三里、次髎、中极等穴位进行辨证施治。 Objective To determine the rules of acupoints and meridians selection for dysmenorrhea based on data mining. Methods The literature on acupuncture treatment of dysmenorrhea was reviewed and a database of dysmenorrhea prescriptions regarding the main points of acupuncture was established with Excel 2003 software, using the relevance rule and cluster analysis methods in data mining technology to analyze the characteristics and laws in acupuncture prescription. Results One hundred and fourteen acupuncture prescriptions were included. The highest frequency of acupoint, meridian and location was Sanyinjiao(SP 6), Spleen Meridian, lower limb knee and below knee, respectively. The results of relevance rule indicated that the highest confidence for acupoint combination was SP 6-Taichong(LR 3), the highest support for acupoint combination was SP 6- Guanyuan(OV 4), and the results of cluster analysis showed that there were three effective cluster groups. Conclusion The combination of SP 6-LR 3-CV 4 can be applied in the clinic to cure dysmenorrhea, and Zusanli(ST 36), Ciliao(BL 32), Zhongji (CV 3) can be matched based on syndrome differentiation.
出处 《针刺研究》 CAS CSCD 北大核心 2017年第5期467-470,共4页 Acupuncture Research
基金 国家自然科学基金(No.81273827 8157150721) 暨南大学科研培育与创新基金(No.11615427)
关键词 针灸 痛经 数据挖掘 穴位 Acupuncture Dysmenorrhea Data mining Acupoint
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