期刊文献+

基于数据挖掘的刺灸法文献数据仓库的建设 被引量:15

Establishment of Data Warehouse of Needling and Moxibustion Literature Based on Data Mining
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摘要 构建刺灸法文献数据仓库,利用数据挖掘技术在大量刺灸法文献信息中发掘有价值的刺灸法研究和临床应用规律,促进对刺灸法研究和指导临床更有效地治疗疾病。组织现有火针、水针等文献的数据库,并根据不同类型刺灸法文献信息特点,建立不同主题的数据库,在不断建成的多个主题数据库中构建面向多主题、多维度的数据仓库。建立文献数据库规范表示数据,丰富数据的属性及建立文献信息间的联系。刺灸法文献数据仓库将多数据库统一组织,并建立广泛联系,为各种数据挖掘算法的运用提供数据联系和数据基础。 In order to explore the efficacy specificity and valuable rules of clinical application of needling and moxibustion methods in a large quantity of information from literature,a data warehouse needs being established.On the basis of the original databases of red-hot needle therapy and hydro-acupuncture therapy,and the newly-established databases of acupoint catgut embedding therapy,acupoint application therapy,etc.,and in accordance with the characteristics of different types of needling-moxi-bustion literature information,databases on different subjects were established first.These subject databases constitute a general "literature data warehouse on needling moxibustion methods" composing of multi-subjects and multiple dimensions so as to discover useful regularities about clinical treatment and trials collected in the literature by using data mining techniques.In the present paper,the authors introduce the design of the data warehouse,determination of subjects,establishment of subject relations,application of the administration platform,and application of data.This data warehouse will provide a standard data representation mode,enlarge data attributes and create extensive data links among literature information in the network,and may bring us with considerable convenience and profits in clinical application decision making and scientific research about needling-moxibustion techniques.
机构地区 河北医科大学
出处 《针刺研究》 CAS CSCD 北大核心 2012年第1期67-71,共5页 Acupuncture Research
基金 国家自然科学基金资助项目(81072883 81173342)
关键词 数据仓库建设 刺灸法 火针 水针 数据挖掘 联机分析处理 Data warehouse establishment Needling and moxibustion techniques Red-hot needle therapy Hydro-acupuncture therapy Data mining On-line analysis processing
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参考文献19

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