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A big data repository and architecture for managing hearing loss related data

机译:用于管理听力损失相关数据的大数据存储库和架构

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The vast amount of data, which arise in healthcare applications makes traditional data processing technology inadequate and requires the use of fast emerging big data technologies to cope with key challenges, including data heterogeneity, pace of acquisition, size, privacy and security. Addressing these challenges requires a shift from traditional data analysis systems and techniques to big data management and processing platforms as well as big data analytics centric architectures. In this paper, we introduce such an architecture. The architecture has been developed to support the acquisition and analysis of big data sets regarding hearing loss and the provision of related healthcare services for the purpose of informing public health policy making. The paper provides an overview of the system and presents the outcomes of an initial evaluation of its performance.
机译:在医疗保健应用中产生的大量数据使得传统的数据处理技术不充分,并且需要使用快速新兴大数据技术来应对关键挑战,包括数据异质性,收购步伐,尺寸,隐私和安全性。解决这些挑战需要从传统数据分析系统和技术转向大数据管理和处理平台以及大数据分析中心架构。在本文中,我们介绍了这样的架构。该架构已经开发,支持关于听力损失的大数据集和提供相关医疗保健服务的大数据集,以便提供通知公共卫生政策制定。本文概述了该系统,并呈现了其性能初步评估的结果。

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