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数据挖掘方法在医学领域的应用及SWOT分析
Application of Data Mining Methods in Medical Field as Well as SWOT Analysis
【摘要】 阐述关联规则、人工神经网络、决策树和聚类分析4种数据挖掘方法在医学领域的应用情况,运用SWOT分析法,得出各方法的优势及劣势、面临的机会及威胁并做出策略分析。指出4种数据挖掘方法的适用范围和协同应用情况,对方法的应用选取提出建议。
【Abstract】 The paper elaborates the application status of four data mining methods in the medical field,including the association rules,artificial neural networks,decision trees and clustering analysis.It utilizes SWOT method to analyze the data mining methods from the perspectives of strengths,weaknesses,opportunities,threats and makes strategic analysis.The application scope and the synergy of the four data mining methods are pointed out,suggestions on the selection of data mining methods are put forward.
【关键词】 数据挖掘;
关联规则;
人工神经网络;
决策树;
聚类分析;
SWOT分析;
【Key words】 Data mining; Association rules; Artificial neural networks; Decision tree; Clustering analysis; SWOT analysis;
【Key words】 Data mining; Association rules; Artificial neural networks; Decision tree; Clustering analysis; SWOT analysis;
【基金】 吉林大学基本科研业务种子基金项目“面向知识服务的领域多维知识库构建研究”(项目编号:2014ZZ026)
- 【文献出处】 医学信息学杂志 ,Journal of Medical Informatics , 编辑部邮箱 ,2015年01期
- 【分类号】TP311.13;R-05
- 【被引频次】34
- 【下载频次】924