Big data aware diabetes management: Requirements, solutions and reviews

M. Ünalir, Özgü Can, Emine Sezer, Okan Bursa, Handan Ak
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引用次数: 2

Abstract

The convergence of IoT, cloud computing and big data creates new opportunities for diabetes management. There are many research projects on diabetes management in the literature. They are generally based on web application architectures and rely on traditional data management systems. This paper firstly describes the big data characteristics and then discusses the perspectives of healthcare systems should have. After briefing the requirements of diabetes management in big data era, big data awareness matrix for diabetes management is presented. Existing solutions are revisited in the light of the matrix and a general review of diabetes management is concluded with the convergent technologies.
基于大数据的糖尿病管理:需求、解决方案和回顾
物联网、云计算和大数据的融合为糖尿病管理创造了新的机遇。文献中有很多关于糖尿病管理的研究项目。它们通常基于web应用程序架构,并依赖于传统的数据管理系统。本文首先描述了大数据的特点,然后讨论了医疗保健系统应该具备的视角。在简述了大数据时代对糖尿病管理的要求后,提出了糖尿病管理的大数据认知矩阵。现有的解决方案在矩阵的光重新审视和糖尿病管理的一般审查是总结与融合的技术。
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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