A review of big data analytics in the biomedical field

W. Jatmiko, D. M. S. Arsa, H. A. Wisesa, Grafiks Jati, M. A. Ma'sum
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引用次数: 8

Abstract

In the recent years, the volume of data that exists in the world has risen dramatically. Biomedical data are data that are recorded from a living being that is used to help analyzing and diagnosis of a certain illness. Like many other types of data, the volume biomedical data has also risen in the last couple of years. In order to process this large amount of data, conventional processing techniques are not adequate. In this paper, we discuss several approach in processing large amount of biomedical data. This paper will also discuss several variations of biomedical data and the challenge that are faced when processing those biomedical data in large sizes. We also proposed integrated Telehealth system which combine Tele-ECG, Tele-USG, and existing biomedical application. The system will be implemented on Big Data Framework. Then Tele-health development can be done using the phase that we propose. The system is started by developing end-to-end user system, implementation to Big Data Framework, then it is finished by Clinical Practice. The proposed framework can be used for high standard biomedical system.
生物医学领域大数据分析综述
近年来,世界上存在的数据量急剧增加。生物医学数据是从生物身上记录下来的数据,用于帮助分析和诊断某种疾病。与许多其他类型的数据一样,生物医学数据的数量在过去几年中也有所增加。为了处理如此大量的数据,传统的处理技术是不够的。本文讨论了处理大量生物医学数据的几种方法。本文还将讨论生物医学数据的几种变体以及在处理这些大规模生物医学数据时所面临的挑战。我们还提出了将远程心电、远程usg和现有生物医学应用相结合的综合远程医疗系统。该系统将在大数据框架下实施。然后,可以使用我们提出的阶段来进行远程保健开发。系统从开发端到端用户系统开始,实施到大数据框架,最后由临床实践完成。该框架可用于高标准的生物医学系统。
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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