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Медицинская библиотека · Zhen ci yan jiu = Acupuncture research · 2017

[Analysis of Meridians and Acupoints Rules in Acupuncture Treatment of Dysmenorrhea Based on Data Mining].

Chen Wei-Hao, Lin Shu-Jun, Zhang Yi-Min, Zhang Yu-Juan, Lin Han-Yu

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Аннотация

OBJECTIVE

To determine the rules of acupoints and meridians selection for dysmenorrhea based on data mining.

METHODS

The literature on acupuncture treatment of dysmenorrhea was reviewed and a database of dysmenorrhea prescriptions regarding the main points of acupuncture was established with Excel 2003 software, using the relevance rule and cluster analysis methods in data mining technology to analyze the characteristics and laws in acupuncture prescription.

RESULTS

One hundred and fourteen acupuncture prescriptions were included. The highest frequency of acupoint, meridian and location was San-yinjiao(SP 6), Spleen Meridian, lower limb knee and below knee, respectively. The results of relevance rule indicated that the highest confidence for acupoint combination was SP 6-Taichong(LR 3), the highest support for acupoint combination was SP 6-Guanyuan(CV 4), and the results of cluster analysis showed that there were three effective cluster groups.

CONCLUSIONS

The combination of SP 6-LR 3-CV 4 can be applied in the clinic to cure dysmenorrhea, and Zusanli(ST 36), Ciliao(BL 32), Zhongji(CV 3) can be matched based on syndrome differentiation.

Для цитирования: Chen Wei-Hao, Lin Shu-Jun, Zhang Yi-Min, Zhang Yu-Juan, Lin Han-Yu. [Analysis of Meridians and Acupoints Rules in Acupuncture Treatment of Dysmenorrhea Based on Data Mining].. Zhen ci yan jiu = Acupuncture research. 2017.

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