艾灸治疗颈椎病的穴位和组合的发现:数据挖掘分析

Rui Ma, Ding-Tian Luo, Yue Liu, Lu Lu, Shujun Xu, Qian Wu, W. Fu
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引用次数: 1

摘要

目的:运用统计学方法和数据挖掘方法,挖掘颈椎病的主要穴位选择。方法:检索中国知网(CNKI)、CBM、万方网(Wanfang)、维普网(VIP) 1978-2016年发表的文献。采用SPSS 17.0软件进行描述性分析、关联规则分析。结果:应用频率最高的前5条经络为度经、大肠经、外经、胆囊经和小肠经。使用最多的是大椎、夹椎和曲池。结论:将数据挖掘技术应用于穴位规律分析是可行的,分析结果可直接用于指导针灸临床治疗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovery of Acupoints and Combinations for the Moxibustion Treatment of Cervical Radiculopathy: A Data Mining Analysis
Objective: To excavate the main acupoints selection for cervical radiculopathy by using statistical methods and data mining methods. Methods: CNKI, CBM, Wanfang, VIP were searched for literature published from 1978-2016. Descriptive analysis, association rules analysis was made by SPSS 17.0 software. Results: The top 5 meridian with the highest frequency of application were Du meridian, Large intestine meridian, Extra meridian, Gallbladder meridians and Small intestine meridian. Dazhui, Jiaji and Quchi were used mostly frequently. Conclusion: It is feasible to apply the data mining technology to the analysis of the law of the points, and the results can be directly used to guide the clinical treatment of acupuncture and moxibustion.
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