Data mining for points-selection rules in acupuncture treatment of mammary gland hyperplasia
10.1007/s11726-017-1023-x
- VernacularTitle:基于数据挖掘探讨针刺治疗乳腺增生病选穴规律分析
- Author:
xin Chun LU
;
hong Yan LÜ
;
Min MA
;
juan Gui ZHANG
;
Yi MA
- Keywords:
Acupuncture Therapy;
Point;
Zusanli (ST 36);
Point;
Danzhong (CV 17);
Point;
Taichong (LR 3);
Mammary Gland Hyperplasia;
Data Mining
- From:
Journal of Acupuncture and Tuina Science
2017;15(5):328-336
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore and analyze the points-selection rules in acupuncture treatment of mammary gland hyperplasia (MGH) by data mining and statistical method. Methods:Clinical literatures about the treatment of MGH with acupuncture published in the recent 16 years were retrieved from Chinese Journal Full-text Database (CJFD) and established into a database by Excel. The SPSS 20 version software and Clementine 12.0 version software were adopted to analyze the frequency and association rules of points-selection in the treatment of MGH with acupuncture. Results:The top 3 points used most frequently in acupuncture treatment of MGH were Danzhong (CV 17), Taichong (LR 3) and Zusanli (ST 36); points from the Stomach Meridian of Foot Yangming and Liver Meridian of Foot Jueyin were most commonly used; the commonly selected points were predominantly distributed in thoracic and abdominal regions and lower limbs; emphasis on the combination use of local and distal points; of the specific points, the five Shu-Transmitting points were mostly used; association analysis showed that the associations among Taichong (LR 3), Danzhong (CV 17) and Zusanli (ST 36) were the most significant. Conclusion: The data mining results substantially accord with the general rules of acupuncture-moxibustion theories in traditional Chinese medicine, able to reflect the points-selection principles and features in acupuncture treatment of MGH and provide evidence for the points selection in the treatment of MGH in acupuncture clinic.
