Analysis of Big Data Analytics in Healthcare Sector: Applications and Tools

Q3 Chemistry
A. Kaliappan, D. Chitra
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引用次数: 3

Abstract

In today’s world, an immense measure of information in the form of unstructured, semi-structured and unstructured is generated by different sources all over the world in a tremendous amount. Big data is the termed coined to address these enormous amounts of data. One of the major challenges in the health sector is handling a high-volume variety of data generated from diverse sources and utilizing it for the wellbeing of human. Big data analytics is one of technique designed to operate with monstrous measures of information. The impact of big data in healthcare field and utilization of Hadoop system tools for supervising the big data are deliberated in this paper. The big data analytics role and its theoretical and conceptual architecture include the gathering of diverse information’s such as electronic health records, genome database and clinical decisions support systems, text representation in health care industry is investigated in this paper.
医疗保健行业大数据分析的应用和工具分析
在当今世界,大量的信息以非结构化、半结构化和非结构化的形式由世界各地的不同来源产生,数量巨大。“大数据”这个词是为了处理这些海量数据而创造的。卫生部门面临的主要挑战之一是处理从不同来源产生的大量各种数据,并将其用于人类福祉。大数据分析是一种旨在处理海量信息的技术。本文探讨了大数据对医疗保健领域的影响,以及利用Hadoop系统工具对大数据进行监管。本文研究了大数据分析的作用及其理论和概念架构,包括电子健康记录、基因组数据库和临床决策支持系统等多种信息的收集,以及医疗保健行业的文本表示。
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来源期刊
Journal of Computational and Theoretical Nanoscience
Journal of Computational and Theoretical Nanoscience 工程技术-材料科学:综合
自引率
0.00%
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0
审稿时长
3.9 months
期刊介绍: Information not localized
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