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《Lishizhen Medicine and Materia Medica Research》 2013-11
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Study on the patterns of Chinese medicine patent formulas treating depression based on data mining

SHI Xue-li;CHEN Gui-hai;ZHAO Xiao-fang;GUO Chao-feng;Guangxi University of Chinese Medicine;Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine;The First Affiliated Hospital of Guangxi University of Chinese Medicine;  
Objective The purpose of this study was to reveal the patterns of Chinese medicine patent formulas of depression based on association rules and clustering of data mining technology. Methods Chinese medicine patent formulas treating depression were retrieved from CNKI and other databases. External formulas or those mixed with western drugs were excluded. Terminologies in the selected formulas were standardized,and the information was extracted to build excel tables. Association rules analysis and clustering analysis were used to reveal the patterns of Chinese medicine patent formulas of depression with software R and Cytoscape. Results Chinese medicines with higher frequency in 128 formulas are Radix bupleuri,Radix Curcumae,Radix Paeoniae Alba,Poria cocos,Licorice,Spina Date Seed,Chinese Angelica et al. Chinese medicines with lower frequency are Valerian,Day lily flower et al; and Radix bupleuriRadix Paeoniae Alba,Poria cocosChinese Angelica,dragon boneconcha ostreae,wheat-Chinese Date et al are commonly used herb pairs. Strong association rules indicates that Xiaoyao San is the key character of Chinese medicine patent formulas treating depression; and clustering analysis discovered several"functional modules",such as Mint-concha ostreaedragon boneRadix bupleuriChinese Angelicacortex moutanatractylodes rhizome. Conclusion Herb frequency,herb pairs,strong association rules and clustering analysis can reveal the patterns of Chinese medicine patent formulas of depression for Clinical treatment to improve efficacy.
【Fund】: 广西壮族自治区自然科学基金(No.2011GXNSFB018095)
【CateGory Index】: R749.41
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