健康数据分析研究的新兴技术:概念架构

Jing Lu, M. Keech
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引用次数: 13

摘要

本文简要回顾了如何利用新兴的数据库技术从现有的健康信息(如电子病历)中提供额外的价值。它不仅涉及到数据仓库、OLAP分析和数据挖掘技术的集成,而且涉及到各种来源的数据的集成以及如何共享和连接资源。在介绍索伦特健康信息合作伙伴关系(SHIP)之前,说明了英国医疗保健的组织结构,突出了在这种情况下提出的数据分析概念架构。NoSQL和大数据技术的适用性被认为是数据仓库和挖掘方法的重点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging Technologies for Health Data Analytics Research: A Conceptual Architecture
This paper gives a brief review of how emerging database technologies can be used to provide additional value from available health information such as electronic patient records. It is not only about the integration of technologies for data warehousing, OLAP analysis and data mining, but also the integration of data from various sources and how to share and connect the resources. The organisational structure of healthcare in the UK is illustrated before the Solent Health Informatics Partnership (SHIP) is introduced, highlighting the proposed conceptual architecture for data analytics in this context. The applicability of NoSQL and Big Data technologies is considered with an emphasis on data warehousing and mining approaches.
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