Law of acupoint selection in acupuncture treatment for insomnia based on data mining method / 中国针灸

ABSTRACT

The modern statistical and data mining technology is used to analyze the law of the acupoint selection in the treatment of insomnia with acupuncture and moxibustion. The clinical literature on the treatment of insomnia with acupuncture and moxibustion in recent 10 years is collected from China National Knowledge Infrastructure (CNKI). Excel software is applied to establish the database of acupuncture prescriptions for insomnia so as to conduct the descriptive analysis, association rule analysis and clustering analysis on the data. In the treatment of insomnia with acupuncture and moxibustion, Shenmen (HT 7) is of the highest frequency and most acupoints were selected from the Governor Vessel. The commonly used acupoints are located on the head, face, neck and nape region. The combination of the local acupoints with the distal ones is predominated. The crossing points among the specific points present the advantage in the treatment. The association rule analysis indicates the highest, correlation among Taixi (KI 3), Sishencong (EX-HN 1) and Shenmen (HT 7). The clustering analysis results in 6 effective clusters and 10 pairs of key points and summarizes the common law of the acupoint combination for insomnia. All of these provide the reference to the treatment of insomnia with acupuncture and moxibustion.