Big Data Insights and Comprehensions in Industrial Healthcare: An Overview

• Main Authors: Weiwei He, Shah Nazir, Zahid Hussain
• Format: Article
• Language: English
• Published: Hindawi Limited 2021-01-01
• Series: Mobile Information Systems
• Online Access: http://dx.doi.org/10.1155/2021/6628739

Big data are the data which need to be shaped for their volume, size, and shape in order to extract meaningful information for an explicit purpose. Data are ever playing a significant role in organization and industry for their daily activities to functional smoothly. The volume of healthcare data is increasing with the rising of technology and passage of time. This rise in volume of data can be a challenging task toward analysing the big data for industry and Internet of things (IoT). Numerous approaches, techniques, and tools exist in the literature for supporting, to handle, and manage processing of data. A review of the literature is needed in order to collect existing evidence from the literature to show which method or tool works for which particular situation. Therefore, the current study presents a review of the existing techniques of big data insights and scientific programming in the industry of healthcare. The report presents the summary of the literature. The study collects evidences from the existing literature and organizes it through the process of literature review with some derivations. This review will benefit practitioners to identify the right techniques for their specific purpose of research.