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首页> 外文会议>IEEE International Conference on Bioinformatics and Biomedicine >The application characteristics of acupoints of acupuncture for tension-type headache: An literature research based on Data-Mining Apriori algorithm
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The application characteristics of acupoints of acupuncture for tension-type headache: An literature research based on Data-Mining Apriori algorithm

机译：针刺穴位在紧张型头痛中的应用特点：基于数据挖掘Apriori算法的文献研究

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Objective: Through data mining technology to summarize the application characteristics of acupoints in the treatment of tension-type headache with acupuncture in modern times. Methods: CNKI, VIP, Wanfang and PubMed databases as our retrieval source were used to collect literature about acupunture on tention-type headache, SPSS 18.0 software to establish data and IBM SPSS modeler 14.1 Data Mining Software to analysis. Then, Calculate the Support degree(S), confidence coefficient (C) and Lift(L) of acupoints itemsets to select the common acupoints as well as to summarize the law of choosing acupoints. Results: Participants included 27 qualified paper. From the point of the statistical results of association rules first, we found that the law of acupoints selection gave priority to points located in head Yang meridians, the most cited acupoints was GB20 (S 77.78%), and then the EX — HN5 (S 66.67%) and DU20 (S 51.85%). In additon, The Compatibility of three acupoints were also the most commonly. Support is 44.44%, the Confidence is 100%, the Lift is 1.5. the Gallbladder Meridian of foot-Shaoyang, the Stomach Meridian of Foot-yangming and the Governor meridian were the most common used meridian. Conclusion: According to the results of data mining, the law of choosing acupoints on tension-type headache mainly embodied in selecting acupoints located in head combined with distinguishing meridian. The results of apriori algorithm were agreed with the meridian theory of TCM and worth spreading and using in clinic.
机译：目的：通过数据挖掘技术，总结穴位在现代针灸治疗紧张型头痛中的应用特点。方法：以CNKI，VIP，Wanfang和PubMed数据库作为我们的检索来源，以收集有关帐篷型头痛的针灸文献，使用SPSS 18.0软件建立数据，并使用IBM SPSS Modeler 14.1 Data Mining Software进行分析。然后，计算穴位项目集的支持度（S），置信度（C）和提升度（L），以选择常用穴位，并总结选择穴位的规律。结果：参与者包括27篇合格论文。从关联规则的统计结果来看，首先发现穴位选择法优先于头部经络的穴位，被引用最多的穴位是GB20（S 77.78％），然后是EX-HN5（S 66.67％）和DU20（S 51.85％）。此外，三个穴位的相容性也是最常见的。支持度是44.44％，置信度是100％，提升度是1.5。邵阳足胆经，足阳明胃经和督脉是最常用的经络。结论：根据数据挖掘的结果，紧张型头痛的取穴法主要体现在选择头部穴位和经络辨别上。先验算法的结果与中医经络理论相吻合，值得在临床上推广应用。

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