Review Article
Application of Acupoints and Meridians for the Treatment of Primary Dysmenorrhea: A Data Mining-Based Literature Study
Table 1
20 most frequently used acupoints identified by data mining.
| Number | Acupoint | Frequency | Support (%) |
| 1 | Sanyinjiao (SP06) | 257 | 65.56 | 2 | Guanyuan (CV04) | 234 | 59.69 | 3 | Qihai (CV06) | 142 | 36.22 | 4 | Diji (SP08) | 126 | 32.14 | 5 | Ciliao (BL32) | 126 | 32.14 | 6 | Zusanli (ST36) | 123 | 31.38 | 7 | Zhongji (CV03) | 120 | 30.61 | 8 | Taichong (LR03) | 114 | 29.08 | 9 | Xuehai (SP10) | 77 | 19.64 | 10 | Shenshu (BL23) | 73 | 18.62 | 11 | Shenque (CV08) | 70 | 17.86 | 12 | Hegu (LI04) | 58 | 14.80 | 13 | Zigong (EX-CA1) | 49 | 12.50 | 14 | Guilai (ST29) | 43 | 10.97 | 15 | Mingmen (GV04) | 42 | 10.71 | 16 | Shuidao (ST28) | 40 | 10.20 | 17 | Ganshu (BL18) | 36 | 9.18 | 18 | Yinlingquan (SP09) | 32 | 8.16 | 19 | Shiqizhui (EX-B7) | 30 | 7.65 | 20 | Pishu (BL20) | 27 | 6.89 |
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