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Study on the medication rules of spinal bi in Chinese Medical Code based on data mining |
MA Yucao LYU Liu HUANG Zhenghui HU Jie ZHENG Xiaojia FANG Jinying WANG Hailong |
Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China
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Abstract Objective To analyze the medication rules of internal prescriptions for the treatment of spinal bi included in Chinese Medical Code based on data mining technology. Methods All the prescriptions in the Chinese Medical Code were searched with the search terms “spinal bi, spinal pain, spinal vessel pain, lumbar spinal pain, median spinal pain, lumbar spinal qiang, lumbar spinal disease, spinal qiang, and back bone pain”, and Excel 2016 was used to establish a database. After the data were normalized, the frequency, nature, flavour, channel tropism, and the efficacy of medication of the treatment of spinal bi were analyzed. SPSS Modeler 18.0 and SPSS Statistics 20.0 were used for association rules and cluster analysis. Results A total of 171 spinal bi related prescriptions and 265 kinds of Chinese materia medica were included. The four nature of drugs were mainly warm, the five flavours of drugs were mainly sweet, pungent, and bitter, the channel tropism of drugs were mainly liver channel, and the efficacy of the drugs were mainly deficiency tonifying drug. Twenty-seven core drug combinations were obtained by association rule analysis. Five groups of clustering methods were obtained by cluster analysis. Conclusion The principle of tonifying deficiency and strengthening vital qi as main, as well as dispelling wind and dispelling cold and dispelling dampness, promoting blood circulation for removing blood stasis are the rules of the Chinese Medical Code.
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