Characteristics of Acupoints Selection in Acupuncture-moxibustion Treatment of Primary Dysmenorrhea Based on Data Mining
10.13460/j.issn.1005-0957.2017.12.1485
- VernacularTitle:基于数据挖掘的原发性痛经现代针灸临床用穴特点探析
- Author:
Lu QIN
1
;
zhen Zhen DONG
;
ping Dan LI
;
jia Jing YAO
;
lin Hui ZHU
;
Kui HU
Author Information
1. 南京中医药大学翰林学院
- Keywords:
Acupuncture-moxibustion;
Dysmenorrhea;
Acupoints selection;
Data mining
- From:
Shanghai Journal of Acupuncture and Moxibustion
2017;36(12):1485-1490
- CountryChina
- Language:Chinese
-
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.
