数据挖掘技术在中医方剂科学问题研究中的应用
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摘要
将数据挖掘技术用于解决中医方剂学研究的科学问题是中医药研究的重点内容之一。文章系统总结了可应用于方剂学研究的常用数据挖掘算法及软件;从数据挖掘技术的应用角度,归纳了其用于解决方剂配伍规则、方证关系、方剂加减变化、用药剂量等关键科学问题的研究概况,以期对于数据挖掘技术在方剂研究中应用具有一定的参考意义。
Data mining could be used to research the scientific problems of traditional Chinese formula, which was considered as one of the focuses on TCM. In this article, the software and tools which could be used in formula research were collected systematically. The application of data mining on the scientific problems of traditional Chinese formula including the compatibility rules, relationship between formula and syndrome, composition and dosage changes in formula were also reviewed. This review perhaps will provide the references for data mining application on the study of traditional Chinese formula.
Data mining could be used to research the scientific problems of traditional Chinese formula, which was considered as one of the focuses on TCM. In this article, the software and tools which could be used in formula research were collected systematically. The application of data mining on the scientific problems of traditional Chinese formula including the compatibility rules, relationship between formula and syndrome, composition and dosage changes in formula were also reviewed. This review perhaps will provide the references for data mining application on the study of traditional Chinese formula.
引文
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[5]张博.基于关联规则的数据挖掘技术在中药方剂配伍中的应用研究.兰州文理学院学报(自然科学版),2011,25(1):82-86
[6]何丽君,董蕊,袁克杰.常见关联规则算法分析与比较.大连民族学院学报,2005,7(5):39-42
[7]Agrawal R,Srikant R.Fast algorithm for mining association Rules.Journal of Computer Science&Technology,1994,15(6):619-624
[8]Hao Ye,Li Ye,Hong Kang,et al.HIT:linking herbal active ingredients to targets.Nucleic Acids Research,2011,39(1):1055-1059
[9]Jianming Guo,Shang E,Zhao J,et al.Data mining and frequency analysis for licorice as a‘Two-Face’herb in Chinese Formulae based on Chinese Formulae Database.Phytomedicine,2014,21(11):1281-1286
[10]李仁义.数据挖掘中聚类分析算法的研究与应用.成都:电子科技大学,2012
[11]陈宝楼.K-Means算法研究及在文本聚类中的应用.合肥:安徽大学,2013
[12]刘广,孙艳秋.基于K-Means聚类算法的消渴方剂研究.中华中医药学刊,2017,35(1):173-178
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[14]杨志敏,原嘉民,黄春华,等.基于决策树的阳虚型失眠症同证异治方辨证思路研究.时珍国医国药,2013,24(5):1219-1220
[15]Pawlak Z.Rough sets.International Journal of Information and Computer Science,1982,11(5):341-356
[16]佘侃侃,胡孔法,王珍.基于变精度容差粗糙集模型及属性敏感度约简的方剂配伍研究.世界科学技术-中医药现代化,2014,16(6):1222-1228
[17]李振岳.中药方剂数据挖掘研究.广州:广东药学院,2010
[18]乔少杰,唐常杰,韩楠,等.基于模糊神经网络的方剂功效约简算法.四川大学学报(工程科学版),2008,40(2):107-111
[19]丁世飞,齐丙娟,谭红艳.支持向量机理论与算法研究综述.电子科技大学学报,2011,40(1):2-10
[20]孙燕,臧传新,任廷革,等.支持向量机分类器在中医方剂模式识别中的应用研究.中医药管理杂志,2006,14(11):25-28
[21]邢雁辉,崔蒙,储戟农,等.基于贝叶斯分类算法的治疗中风中药组方研究.中西医结合心脑血管病杂志,2015,13(4):471-474
[22]刘晓峰,任廷革,高全泉,等.中医处方智能分析系统的研究与实践.中国中医药信息杂志,2007,159(10):97-99
[23]唐仕欢,申丹,卢朋,等.中医传承辅助平台应用评述.中华中医药杂志,2015,30(2):329-331
[24]孟红梅.基于数据挖掘的中医方剂分析技术研究.南京:南京理工大学,2009
[25]胡志帅.基于数据挖掘技术的方剂配伍规律探索研究.济南:山东中医药大学,2012
[26]董凤娟.中药复方补中益气丸和十全大补丸的鉴别及质量评价研究.济南:山东大学,2010
[27]李川.中医药数据挖掘系统TCMiner设计、实现与核心技术研究.成都:四川大学,2006
[28]朱金伟.数据挖掘算法及其在中药配方系统中的应用研究.镇江:江苏大学,2006
[29]董俊龙.关联规则和聚类分析在方剂配伍规律研究中的应用.沈阳:东北大学,2010
[30]蔡越君.数据挖掘技术及其在中药配伍系统中的应用研究.杭州:浙江大学,2003
[31]周忠眉.中医方剂数据挖掘模式和算法研究.杭州:浙江大学,2006
[32]王春山.数据挖掘技术在方剂配伍领域的应用研究.杭州:浙江大学,2006
[33]王烨燃.方剂组方法则研究.哈尔滨:黑龙江中医药大学,2010
[34]周铭心.论方剂君臣佐使药定义及其判别方法.新疆中医药,2012,30(1):1-5
[35]Wang J F,Cai C Z,Kong C Y,et al.A computer method for validating traditional Chinese medicine herbal prescriptions.American Journal of Chinese Medicine,2005,33(2):281-297
[36]张廷,崔瑛,申玲玲,等.中药药性复杂性与药性物质研究的思考.中华中医药杂志,2013,28(3):585-587
[37]汤尔群,任廷革,陈明,等.基于数据挖掘方法的《伤寒论》方证知识挖掘研究.中国中医药信息杂志,2012,19(4):31-34
[38]吴嘉瑞,郭位先,张冰,等.基于关联规则和复杂系统熵聚类的颜正华教授治疗风湿痹证用药规律研究.中华中医药杂志,2014,29(3):696-699
[39]王阶,郭丽丽,杨戈,等.方剂配伍理论研究方法及研究前景.世界科学技术-中医药现代化,2006,8(1):1-5
[40]Simon K Poon,Josiah Poon,Martin Mc Grane,et al.A novel approach in discovering significant interactions from TCM patient prescription data.International Journal of Data Mining&Bioinformatics,2011,5(4):353-368
[41]杨巨成.方剂加减规律在中医临证治疗中的重要性.中国民间疗法,2015,23(9):77-78
[42]马俊田,张影,王宪龄,等.论药性组合的药对配伍及作用.中医研究,2013,26(7):58-60
[43]Choong Yong Ung,Hu Li,Zhi Wei Cao,et al.Are herb-pairs of traditional Chinese medicine distinguishable from others?Pattern analysis and artificial intelligence classification study of traditionally defined herbal properties.Journal of Ethnopharmacology,2007,111(2):371-377
[44]李敬华,崔蒙.方剂配伍关系的算法与利用研究.中国数字医学,2010,5(5):42-44
[45]Shao Li,Bo Zhang,Duo Jiang,et al.Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae.Bio Med Central Bioinformatics,2010,11(11):1-6
[46]Meng Cui,Jinghua Li,Haiyan Li,et al.Herbal compatibility of traditional Chinese medical formulas for acquired immunodeficiency syndrome.Journal of Traditional Chinese Medicine,2012,32(3):329-334
[47]Fang Zhao,Meixia Zhang,Zhenghui Yi,et al.Replacements of rare herbs and simplifications of traditional Chinese medicine formulae based on attribute similarities and pathway enrichment analysis.Evidence-Based Complementary and Alternative Medicine,2013,2013(136732):1-9
[48]董昉,李晓鹤,过红玲,等.基于二分图和贪婪算法的方剂配伍设计方法研究.中国中药杂志,2014,39(13):2386-2388
[49]曹灵修,张林.方证关系研究思路.中华中医药杂志,2016,31(8):3166-3169
[50]Li Huang,Jiamin Yuan,Zhimin Yang,et al.Patterns exploration on patterns of empirical herbal formula of Chinese medicine by association rules.The Scientific World Journal,2015,2015(148948):1-7
[51]Lin-Hua Zha,Li-Sha He,Feng-Mei Lian,et al.Clinical strategy for optimal traditional Chinese medicine(TCM)herbal dose selection in disease therapeutics:Expert consensus on classic TCM herbal formula dose conversion.The American Journal of Chinese Medicine,2015,43(8):1515-1524
[52]袁楠,金晖,田玲,等.基于聚类和模糊关联规则的中医药对量效分析.计算机应用研究,2009,26(1):59-61
[2]范骁辉,程翼宇,张伯礼.网络方剂学:方剂现代研究的新策略.中国中药杂志,2015,40(1):1-6
[3]张承江.医学数据仓库与数据挖掘.北京:中国中医药出版社,2008
[4]Yi Feng,Zhaohui Wu,Xuezhong Zhou,et al.Knowledge discovery in traditional Chinese medicine:state of the art and perspectives.Artificial Intelligence in Medicine,2006,38(3):219-236
[5]张博.基于关联规则的数据挖掘技术在中药方剂配伍中的应用研究.兰州文理学院学报(自然科学版),2011,25(1):82-86
[6]何丽君,董蕊,袁克杰.常见关联规则算法分析与比较.大连民族学院学报,2005,7(5):39-42
[7]Agrawal R,Srikant R.Fast algorithm for mining association Rules.Journal of Computer Science&Technology,1994,15(6):619-624
[8]Hao Ye,Li Ye,Hong Kang,et al.HIT:linking herbal active ingredients to targets.Nucleic Acids Research,2011,39(1):1055-1059
[9]Jianming Guo,Shang E,Zhao J,et al.Data mining and frequency analysis for licorice as a‘Two-Face’herb in Chinese Formulae based on Chinese Formulae Database.Phytomedicine,2014,21(11):1281-1286
[10]李仁义.数据挖掘中聚类分析算法的研究与应用.成都:电子科技大学,2012
[11]陈宝楼.K-Means算法研究及在文本聚类中的应用.合肥:安徽大学,2013
[12]刘广,孙艳秋.基于K-Means聚类算法的消渴方剂研究.中华中医药学刊,2017,35(1):173-178
[13]徐蕾.决策树技术及其在医学中的应用.上海:第二军医大学,2004
[14]杨志敏,原嘉民,黄春华,等.基于决策树的阳虚型失眠症同证异治方辨证思路研究.时珍国医国药,2013,24(5):1219-1220
[15]Pawlak Z.Rough sets.International Journal of Information and Computer Science,1982,11(5):341-356
[16]佘侃侃,胡孔法,王珍.基于变精度容差粗糙集模型及属性敏感度约简的方剂配伍研究.世界科学技术-中医药现代化,2014,16(6):1222-1228
[17]李振岳.中药方剂数据挖掘研究.广州:广东药学院,2010
[18]乔少杰,唐常杰,韩楠,等.基于模糊神经网络的方剂功效约简算法.四川大学学报(工程科学版),2008,40(2):107-111
[19]丁世飞,齐丙娟,谭红艳.支持向量机理论与算法研究综述.电子科技大学学报,2011,40(1):2-10
[20]孙燕,臧传新,任廷革,等.支持向量机分类器在中医方剂模式识别中的应用研究.中医药管理杂志,2006,14(11):25-28
[21]邢雁辉,崔蒙,储戟农,等.基于贝叶斯分类算法的治疗中风中药组方研究.中西医结合心脑血管病杂志,2015,13(4):471-474
[22]刘晓峰,任廷革,高全泉,等.中医处方智能分析系统的研究与实践.中国中医药信息杂志,2007,159(10):97-99
[23]唐仕欢,申丹,卢朋,等.中医传承辅助平台应用评述.中华中医药杂志,2015,30(2):329-331
[24]孟红梅.基于数据挖掘的中医方剂分析技术研究.南京:南京理工大学,2009
[25]胡志帅.基于数据挖掘技术的方剂配伍规律探索研究.济南:山东中医药大学,2012
[26]董凤娟.中药复方补中益气丸和十全大补丸的鉴别及质量评价研究.济南:山东大学,2010
[27]李川.中医药数据挖掘系统TCMiner设计、实现与核心技术研究.成都:四川大学,2006
[28]朱金伟.数据挖掘算法及其在中药配方系统中的应用研究.镇江:江苏大学,2006
[29]董俊龙.关联规则和聚类分析在方剂配伍规律研究中的应用.沈阳:东北大学,2010
[30]蔡越君.数据挖掘技术及其在中药配伍系统中的应用研究.杭州:浙江大学,2003
[31]周忠眉.中医方剂数据挖掘模式和算法研究.杭州:浙江大学,2006
[32]王春山.数据挖掘技术在方剂配伍领域的应用研究.杭州:浙江大学,2006
[33]王烨燃.方剂组方法则研究.哈尔滨:黑龙江中医药大学,2010
[34]周铭心.论方剂君臣佐使药定义及其判别方法.新疆中医药,2012,30(1):1-5
[35]Wang J F,Cai C Z,Kong C Y,et al.A computer method for validating traditional Chinese medicine herbal prescriptions.American Journal of Chinese Medicine,2005,33(2):281-297
[36]张廷,崔瑛,申玲玲,等.中药药性复杂性与药性物质研究的思考.中华中医药杂志,2013,28(3):585-587
[37]汤尔群,任廷革,陈明,等.基于数据挖掘方法的《伤寒论》方证知识挖掘研究.中国中医药信息杂志,2012,19(4):31-34
[38]吴嘉瑞,郭位先,张冰,等.基于关联规则和复杂系统熵聚类的颜正华教授治疗风湿痹证用药规律研究.中华中医药杂志,2014,29(3):696-699
[39]王阶,郭丽丽,杨戈,等.方剂配伍理论研究方法及研究前景.世界科学技术-中医药现代化,2006,8(1):1-5
[40]Simon K Poon,Josiah Poon,Martin Mc Grane,et al.A novel approach in discovering significant interactions from TCM patient prescription data.International Journal of Data Mining&Bioinformatics,2011,5(4):353-368
[41]杨巨成.方剂加减规律在中医临证治疗中的重要性.中国民间疗法,2015,23(9):77-78
[42]马俊田,张影,王宪龄,等.论药性组合的药对配伍及作用.中医研究,2013,26(7):58-60
[43]Choong Yong Ung,Hu Li,Zhi Wei Cao,et al.Are herb-pairs of traditional Chinese medicine distinguishable from others?Pattern analysis and artificial intelligence classification study of traditionally defined herbal properties.Journal of Ethnopharmacology,2007,111(2):371-377
[44]李敬华,崔蒙.方剂配伍关系的算法与利用研究.中国数字医学,2010,5(5):42-44
[45]Shao Li,Bo Zhang,Duo Jiang,et al.Herb network construction and co-module analysis for uncovering the combination rule of traditional Chinese herbal formulae.Bio Med Central Bioinformatics,2010,11(11):1-6
[46]Meng Cui,Jinghua Li,Haiyan Li,et al.Herbal compatibility of traditional Chinese medical formulas for acquired immunodeficiency syndrome.Journal of Traditional Chinese Medicine,2012,32(3):329-334
[47]Fang Zhao,Meixia Zhang,Zhenghui Yi,et al.Replacements of rare herbs and simplifications of traditional Chinese medicine formulae based on attribute similarities and pathway enrichment analysis.Evidence-Based Complementary and Alternative Medicine,2013,2013(136732):1-9
[48]董昉,李晓鹤,过红玲,等.基于二分图和贪婪算法的方剂配伍设计方法研究.中国中药杂志,2014,39(13):2386-2388
[49]曹灵修,张林.方证关系研究思路.中华中医药杂志,2016,31(8):3166-3169
[50]Li Huang,Jiamin Yuan,Zhimin Yang,et al.Patterns exploration on patterns of empirical herbal formula of Chinese medicine by association rules.The Scientific World Journal,2015,2015(148948):1-7
[51]Lin-Hua Zha,Li-Sha He,Feng-Mei Lian,et al.Clinical strategy for optimal traditional Chinese medicine(TCM)herbal dose selection in disease therapeutics:Expert consensus on classic TCM herbal formula dose conversion.The American Journal of Chinese Medicine,2015,43(8):1515-1524
[52]袁楠,金晖,田玲,等.基于聚类和模糊关联规则的中医药对量效分析.计算机应用研究,2009,26(1):59-61