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Development of a Data Warehouse for Lymphoma Cancer Diagnosis and Treatment Decision Support

机译:淋巴瘤癌症诊断和治疗决策支持的数据仓库的开发

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Data warehousing is becoming an indispensable component of data mining process and business intelligence. Data warehouses often act as a data collector, data integrator and data provider in the data mining process. This paper reviews the development and use of a clinical data warehouse specific to the Lymphoma or Lymph Node cancer, which could be used by doctors, physicians and other health professionals, in conjunction with a Clinical Decision Support System (CDSS), to support the clinical process as well as to formulate the appropriate model to improve the quality of diagnosis and treatment recommendation decision making. This paper proposes a 5-stage sequential methodology for the clinical data warehouse development. Research on how the developed data warehouse would support the data mining process will be discussed in a separate paper.
机译:数据仓库正在成为数据挖掘过程和商业智能的不可或缺的组成部分。数据仓库通常用作数据挖掘过程中的数据收集器,数据集成器和数据提供程序。本文综述了特定于淋巴瘤或淋巴结癌特异的临床数据仓库的开发和使用,这些临床数据仓库可以由医生,医师和其他卫生专业人员使用,与临床决策支持系统(CDS)一起使用,以支持临床过程以及制定适当的模型,以提高诊断和治疗建议决策质量。本文提出了一种5阶段的临床数据仓库开发方法。关于开发的数据仓库如何支持数据挖掘过程的研究将在单独的纸张中讨论。

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