上海针灸杂志2017，Vol.36Issue(12)：1485-1490,6.DOI:10.13460/j.issn.1005-0957.2017.12.1485
基于数据挖掘的原发性痛经现代针灸临床用穴特点探析
Characteristics of Acupoints Selection in Acupuncture-moxibustion Treatment of Primary Dysmenorrhea Based on Data Mining
摘要
Abstract
Objective To summarize the characteristics of acupoints selection in acupuncture-moxibustion treatment of primary dysmenorrhea (PD) based on data mining. Method Clinical literatures published in the recent 10 years related to acupuncture-moxibustion treatment of PD were collected to establish a prescription database by using Excel. The descriptive analysis, association rules analysis and clustering analysis were conducted by Python and Clementine12.0. Result A total of 74 acupoints were involved with a total frequency of 1072. The leading three meridians were Spleen Meridian (325 times), Conception Vessel (260 times) and Bladder Meridian (158 times); the leading acupoints were Sanyinjiao (SP6, 174 times), Guanyuan (CV4, 111 times), Diji (SP8, 79 times), Ciliao (BL32, 73 times) and Qihai (CV6, 67 times). The utilization of the specific acupoints accounted for 66.22% (49/74). The crossing acupoints were predominant (393 times), especially Sanyinjiao, Guanyuan and Zhongji (CV3), followed by the five-Shu points (195 times), Front-Mu points (195 times) and Yuan-Primary points (99 times). The association rules analysis showed that Guanyuan and Sanyinjiao had the most significant correlation. The clustering analysis figured out 8 core clustering groups. Conclusion The characteristics of acupoints selection revealed in this study provide ideas and references for acupuncture-moxibustion treatment of PD in clinic.关键词
针灸疗法/痛经/选穴/数据挖掘技术Key words
Acupuncture-moxibustion/Dysmenorrhea/Acupoints selection/Data mining分类
医药卫生引用本文复制引用
秦璐,董珍珍,李丹萍,姚婧佳,朱汇霖,胡葵..基于数据挖掘的原发性痛经现代针灸临床用穴特点探析[J].上海针灸杂志,2017,36(12):1485-1490,6.基金项目
江苏省大学生创新创业训练计划(201513981004Y) （201513981004Y）
