Department of Electronics and Communication Engineering, Thapar University, Patiala, Punjab, India.
Department of Computer Science Engineering, Thapar University, Patiala, India.
Curr Med Imaging. 2022;19(1):27-36. doi: 10.2174/1573405618666220308113707.
Big data has been a topic of interest for many researchers and industries for the past few decades. Due to the exponential growth of technology, a tremendous amount of data is generated every minute. This article provides a strategic review of big data in the healthcare sector. In particular, this article highlights various applications and issues faced by the healthcare industry using big data by evaluating various journal articles between 2016 and 2021. Multiple issues related to data mining, storing, analyzing, and sharing of big data in healthcare, briefly summarizing deep-learning-based tools available for big data analytics, have been covered in this article. This article aims to benefit the research community by summarizing various research tools and processes available today to manage big data in healthcare.
大数据在过去几十年一直是许多研究人员和行业关注的话题。由于技术的指数级增长,每分钟都会产生大量的数据。本文对医疗保健领域的大数据进行了战略回顾。特别是,本文通过评估 2016 年至 2021 年期间的各种期刊文章,强调了医疗保健行业使用大数据所面临的各种应用和问题。本文涵盖了与医疗保健中大数 据的挖掘、存储、分析和共享相关的多个问题,简要总结了用于大数据分析的基于深度学习的工具。本文旨在通过总结当今可用的各种研究工具和流程,为研究社区提供帮助,以管理医疗保健中的大数据。