Big data analytics for health systems

Vikash Yadav, Monika Verma, V. Kaushik
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引用次数: 8

Abstract

The speedily growing field of big data analytics has started to play a pivot role in the advancement of healthcare practices and research. It has provided tools to mount up, manage, analyze, and incorporate large volumes of unrelated, structured, and unstructured data produced by current healthcare systems. Big data analytics is a useful technique that is useful to provide better analysis of disease. However, the acceptance rate and research development in this space is still delayed by some fundamental problems inbuilt within the big data standard. Current research which focuses on utilization of huge volume of medical data while combining multidimensional data from different sources is discussed. Some areas of research within this field which have the ability to provide significant impact on healthcare delivery are also examined.
卫生系统的大数据分析
快速发展的大数据分析领域已经开始在医疗保健实践和研究的进步中发挥关键作用。它提供了装载、管理、分析和合并当前医疗保健系统产生的大量不相关、结构化和非结构化数据的工具。大数据分析是一项有用的技术,有助于提供更好的疾病分析。然而,由于大数据标准本身存在的一些根本性问题,这一领域的接受率和研究进展仍然受到阻碍。讨论了当前研究的重点是利用海量医疗数据,同时结合不同来源的多维数据。该领域内的一些研究领域也对医疗保健服务产生了重大影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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