Flexible Data Warehouse Parameters: Toward Building an Integrated Architecture

Mustafa Musa Jaber, Mohd Khanapi Abd. Ghani, N. Suryana, Mohammed Aal Mohammed, Thamir Abbas
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引用次数: 11

Abstract

Clinical databases have gathered a huge amount of information about patients and their medical conditions. Relationships and patterns within this data could provide new medical knowledge. Thus it is a difficult task focusing to model a data warehouse, very often, into internal structures and implementation applications. The aim of is project is to find the parameters of medical data warehouse which will be able to construct a flexible framework by analyze the approaches of data warehouse architectures and compare them regarding the cost and integrity. The proposed parameters may assist in achieving continual access to the common data warehouse. The important consideration, however, is that the clinical data record should contain not only longitudinal health summary information but also be used for business intelligence tool such as data mining and OLAP
灵活的数据仓库参数:构建集成体系结构
临床数据库收集了大量关于患者及其医疗状况的信息。这些数据中的关系和模式可以提供新的医学知识。因此,经常将数据仓库建模为内部结构和实现应用程序是一项困难的任务。本课题的目的是通过分析数据仓库体系结构的方法,并在成本和完整性方面进行比较,找到能够构建灵活框架的医疗数据仓库参数。建议的参数可以帮助实现对公共数据仓库的持续访问。然而,重要的考虑因素是,临床数据记录不仅应包含纵向健康汇总信息,还应用于数据挖掘和OLAP等商业智能工具
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