基于物联网的电子医疗系统的几个关键问题和挑战综述

M. Shamila, K. Vinuthna, A. Tyagi
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引用次数: 15

摘要

由于最近智能/电子设备或计算设备的发展,正在产生大量数据(称为大数据)。这些数据简单来说就是“大数据”或“大数据”。今天的大数据在经过适当和有效的分析后,对于预测未来(关于应用程序)非常有用。总之,一些研究人员已经尝试制作有效的分析工具(或数据挖掘或机器学习等技术)来分析这些大数据,但由于大数据的数量和准确性,一些工具失败了。因此,有几个问题,问题和挑战已经纠正,需要在不久的将来克服。因此,本文将深入了解大数据在医疗保健系统中的使用位置和方式,并提供有关基因组分析的几个挑战和问题(基于这些收集的数据)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Several Critical Issues and Challenges in IoT based e-Healthcare System
Due to recent development in smart/ electronic devices or computing devices, a lot of data (called Big Data) is being generated. This data in simple terms is called as "Large Data" or "Big Data". Today’s Big Data is highly useful for predicting future (with respect to an application) after having a proper and valid analysis. Together this, several researchers have been tried to make efficient analytics tools (or techniques like data mining or machine learning) to analysis this Big Data, but some tool fail due to the volume and veracity feature of the big Data. So, there are several problems, issues and challenges have been rectified which are need to overcome in near future. Hence, this article gives insight to where and how big data can be used in health care system, also provide several challenges and issues with respect to genomic analytics (on this collected data).
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