| 应用数据挖掘技术分析古代35则消渴医案辨证论治规律探析 |
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| 引用本文： | 方朝晖,赵进东,李中南,忻凌,倪英群,李家云,谢峰涛,杨雪. 应用数据挖掘技术分析古代35则消渴医案辨证论治规律探析[J]. 天津中医药大学学报, 2015, 34(4): 193-196 |
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| 作者姓名： | 方朝晖 赵进东 李中南 忻凌 倪英群 李家云 谢峰涛 杨雪 |
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| 作者单位： | 安徽中医药大学第一附属医院, 合肥 230031;安徽省中医药科学院, 合肥 230031,安徽中医药大学第一附属医院, 合肥 230031;安徽省中医药科学院, 合肥 230031,安徽中医药大学第一附属医院, 合肥 230031,安徽中医药大学第一附属医院, 合肥 230031,安徽中医药大学第一附属医院, 合肥 230031,安徽中医药大学第一附属医院, 合肥 230031,安徽中医药大学, 合肥 230031,安徽中医药大学, 合肥 230031 |
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| 基金项目： | 国家中医药管理局中医药重点学科(20091221);国家科技部科技支撑计划(2012BA126B00);国家中医药管理局基本公共卫生服务项目(20131012);安徽省自主创新专项资金(13Z04013);安徽中医药大学科学研究基金项目(2015qn029)。 |
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| 摘 要： | ![]()
[目的] 分析古代医案中诊治消渴的辨证思维、处方、用药规律。[方法] 使用中医病历采集系统录入35则消渴医案的相关资料信息, 对病案中关键证素信息进行数据预处理与转化, 运用描述性统计方法、聚类分析及关联规则等方法分析辨证论治规律。[结果] 症状出现频次最多的依次为多饮、多食易饥、多尿、消瘦等, 中医常见证型为肺胃热盛、肾阴亏虚、肝肾阴虚等, 常见治法为清肺和胃、清胃养阴、滋补肝肾等, 常用药物为:知母、麦门冬、甘草等, 复杂网络分析图显示知母、熟地黄、生地、甘草、麦门冬为核心处方, 其中最核心药物为知母。聚类分析显示用药的组合可分成4类, 分别为:清热养阴、滋补肝肾、收敛固涩、泻下攻积。[结论] 应用数据挖掘技术能较好地总结诊治消渴症、证、法、药的临床经验。
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| 关 键 词： | 数据挖掘 古代医案 消渴 糖尿病 |
| 收稿时间： | 2015-03-15 |
An analysis of thirty-five ancient medical case's syndrome differentiation and treatment regularity in treating Xiaoke: based on data mining |
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| FANG Zhao-hui,ZHAO Jin-dong,LI Zhong-nan,XIN Ling,NI Ying-qun,LI Jia-yun,XIE Feng-tao and YANG Xue. An analysis of thirty-five ancient medical case's syndrome differentiation and treatment regularity in treating Xiaoke: based on data mining[J]. Journal of Tianjin University of Traditonal Chinese Medicine, 2015, 34(4): 193-196 |
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| Authors: | FANG Zhao-hui ZHAO Jin-dong LI Zhong-nan XIN Ling NI Ying-qun LI Jia-yun XIE Feng-tao YANG Xue |
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| Affiliation: | The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China;Anhui Academy of Chinese Medicine, Hefei 230031, China,The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China;Anhui Academy of Chinese Medicine, Hefei 230031, China,The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China,The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China,The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China,The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China,Anhui University of Traditional Chinese Medicine, Hefei 230031, China and Anhui University of Traditional Chinese Medicine, Hefei 230031, China |
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| Abstract: | ![]()
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| Keywords: | data mining ancient medical case Xiaoke diabetes mellitus |
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