Data mining for points-selection rules in acupuncture treatment of mammary gland hyperplasia

Abstract

To explore and analyze the points-selection rules in acupuncture treatment of mammary gland hyperplasia (MGH) by data mining and statistical method. 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. 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. 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.