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摘要: 目的:通过喉癌临床数据的挖掘与分析,为喉癌的早期预测诊断提供决策判断依据。方法:在后关系型Caché数据库上建立喉癌数据仓库,结合IBM Cognos进行联机在线分析,实现喉癌数据多维呈现,并构建喉癌科研数据集于Weka环境中实现特征选择及数据挖掘。结果:构建喉癌数据仓库;实现喉癌数据多维呈现;通过数据挖掘提取喉癌的集成式和二段式特征子集,发现与喉癌高度相关的潜在特征。结论:运用数据挖掘技术对发现喉癌潜在临床知识、辅助临床诊断具有重要的价值。
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关键词:
- laryngeal cancer /
- data mining /
- data analysis
Abstract: Objective: To provide a basis for the prediction and early diagnosis of laryngeal cancer through data mining and analysis.Method: We constructed a laryngeal cancer data warehouse on Caché and combined IBM Cognos for on-line analytical processing. After building research data set, software Weka was used for feature selection and data mining.Result: Data warehouse of laryngeal cancer was structured and Laryngeal cancer data were multidimensional presented. It is possible to find the high relevant and potential characteristics associated with laryngeal cancer by integration and 2-phase feature subset of data mining to extract the larynx.Conclusion: Application of data mining technology could help clinicians to find potential clinical knowledge and make early diagnosis of laryngeal cancer.-
Key words:
- laryngeal cancer /
- data mining /
- data analysis
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