title: [Characteristics of acupoints selection of moxibustion for primary dysmenorrhea based on data mining technology].
abstract: By using data mining technology, the characteristics of acupoints selection of modern moxibustion for primary dysmenorrhea (PD) were analyzed. The modern literature regarding moxibustion for PDl was coll6cted~ from a comprehensive retrieval in Chinese Biomedical Medicine (CBM), China National Knowledge Infrastructure (CNKI), VIP and PubMed. The prescription database of moxihustion was established, and the association rule4 method of data mining technology was adopted to analyze characteristics and rules of acupoints selection of modern moxibustion for PD. As a result, a total of 35 acupoints were involved with a total frequency of 399. The acupoints, with higher selected frequency included Guanyuan (CV 4, 90 times), Sanyinjiao (SP 6, 47 times), Shenque (CV 8, 43 times), Zhongji (CV 3, 3 times) and Qihai (CV 6, 28 tirmes); the ratio of yin-meridian acupoints to1 yang-meridian acupoints was approximately 341; the utilization of the specific acupoints accountedfor68. 6% (24/35); the crossing acupoints were used mostly (203 "times), featured with high acupoints selected, especially Guanyuan (CV 4), Sanyinjiao CSP 6) and Zhongji (CV 3); the front-mu points (130 times), he-sa points (19 times) and lower he-sea points (18 times) were frequently used. The results reveal thiat acupoints selection of moxibustion of PD focuses on the local acupoints and comnbination with the distal acupoints. The yin-meridian acupoints are preferred and the specific acupoints are the main part of the prescription. This conclusion can also be used to optimize the choosing of acupoints in clinic.
authors.forename: Siyi
authors.initials: S
authors.lastname: Yu
authors.forename: Jie
authors.initials: J
authors.lastname: Yang
authors.forename: Yulan
authors.initials: Y
authors.lastname: Ren
authors.forename: Liang
authors.initials: L
authors.lastname: Chen
authors.forename: Fanrong
authors.initials: F
authors.lastname: Liang
authors.forename: Youping
authors.initials: Y
authors.lastname: Hu
mesh_terms: D015669:Acupuncture Points; D057225:Data Mining; D016206:Databases, Bibliographic; D004412:Dysmenorrhea / Q000628:therapy*; D005260:Female; D006801:Humans; D009071:Moxibustion; D016032:Randomized Controlled Trials as Topic