中医肺病数据库构建及挖掘的思路与方法

发布时间：2018-01-15 03:15

本文关键词：中医肺病数据库构建及挖掘的思路与方法　出处：《中华中医药杂志》2017年12期 　论文类型：期刊论文

【摘要】：目的:基于中医肺病数据库建立,探索肺系疾病的病机、证候、方药规律等内容的挖掘思路与方法。方法:按照实施方案的采集范围和方法,经字段、程序设计,构建肺病结构化数据库(含中医肺病古籍、现代名老中医著作、期刊3个数据库),并尝试多种数据挖掘方法对肺病的病因病机、证候及特征、方药应用规律进行研究。结果:采用不同挖掘方法初步提取了肺病的病因病机、证素、证候分布、病-方药、症-方药、证-方药间关联及配伍规律。针对病因病机、证素、症状、药物等单变量的挖掘多采用频数、聚类、因子分析,将三者相结合可判断临床常见证候及主、次症特征;证候分布及特征多采用神经网络、决策树、隐结构模型及Logistic回归分析等分类预测挖掘;病-方药、症-方药、证-方药的应用规律多采用相关性分析、关联规则、灰色关联、隐结构分析。结论:构建肺病数据库,能实现对中医辨治肺系疾病理论与经验进行系统的总结,数据挖掘为名老中医辨证、组方用药经验的研究提供了有效工具,能满足从名老中医个体化诊疗数据中发现隐性知识的需求,为发展或丰富肺病中医理论及诊疗方法提供依据。
[Abstract]:Objective: to establish the TCM disease database based on pathogenesis of lung disease, explore the syndromes, ideas and methods of mining content prescription rules. Methods: according to the embodiment of the collection scope and methods, through the field, program design, construction of lung structured database (including Chinese medicine disease classics, modern old Chinese Medicine books, periodicals 3), database and try a variety of data mining methods on pulmonary disease pathogenesis, syndromes and characteristics of drug application rules. Results: using different mining methods, the initial extraction of the etiology and pathogenesis of lung disease, syndrome, syndrome distribution, disease - drug, disease - medicine, syndrome the correlation between prescription and compatibility law. According to the etiology and pathogenesis, syndrome, symptoms, drugs and other mining single variable multi frequency, clustering, factor analysis, the combination of the three can determine the common clinical syndromes and primary, secondary disease characteristics; syndrome distribution and characteristics of the neural network, Decision tree, hidden structure model and Logistic regression analysis to predict classification mining; disease - drug, disease - prescription, prescription of the application law of syndrome by correlation analysis, association rules, grey correlation, latent structure analysis. Conclusion: the construction of lung disease database, to achieve the systematic summary of traditional Chinese medicine on treating respiratory system the disease theory and experience, the name of the old TCM data mining, provides an effective tool to study the prescription experience, can meet the tacit knowledge demand from the old Chinese medicine individualized diagnosis data, provide the basis for the development of lung disease or rich traditional Chinese medicine theory and the methods of diagnosis and treatment.

【作者单位】：河南中医药大学呼吸疾病诊疗与新药研发河南省协同创新中心河南省中医药防治呼吸病重点实验室;南阳理工学院张仲景国医国药学院;
【基金】：国家中医药管理局国家中医临床研究基地业务建设科研专项(No.JDZX2012027) 河南省博士后科研项目(No.00104257) 河南省中医药研究专项(No.2015ZY02003) 呼吸疾病诊疗与新药研发河南省协同创新中心研究生科研创新基金项目(No.豫科技[2013]638号)~~
【分类号】：R256.1;TP311.13
【正文快照】： 河南南阳473004)肺系疾病是临床的常见多发病,历代医家在诊疗过程中积累了丰富的经验,但中医古籍印刷出版较少,更有少数珍本或手稿从未出版过单行本,且各种期刊文献数据库不能检索所有期刊。因此,任何个人都无法或难以全部购买、查找和阅读纸质及电子版肺病的著作及期刊。本课

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