Towards Reaping the Promotions of Big Data in Healthcare Services

被引:0
|
作者
Alterazi, Hassan A. [1 ]
机构
[1] King Abdulaziz Univ, Fac Comp & Informat Technol, Jeddah, Saudi Arabia
关键词
mHealth; eHealth; Clinical data analytics; Big data in healthcare; IoT in health service; Digitalization of healthcare; Medical care; Electronic health record; Intelligent medical care system; Healthcare data;
D O I
10.14456/ITJEMAST.2021.91
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Nowadays, the world's attention is turned into big data technology deployment in the healthcare industry to handle the enormous collections of heterogeneous health care datasets like sensor health data and electronics health records. The nature of medical data is increasing in verity and its volume due to the commoditization of digital strategies like wireless sensors and mobile phones. The current medical industry requires a renovation of traditional medical care hardware and software patterns, which are not equipped to deal with the diversity and volume of the modern clinical data must be augmented with innovative big data analysis and computing capabilities. For the research investigators, there is an opportunity in clinical data analytics to learn this gigantic amount of information. . Recently big data has become an inimitable and favorite research domain in the field of computer science. Numerous open research obstacles are available in healthcare big data analysis and optimal solutions have also been projected by the researchers for enhancement of many innovative approaches and techniques for dealing with medical care data to obtain better solutions. For research investigators, there is an occasion in medical care data and provide a better solution for enhancing healthcare, thereby minimizing costs, democratizing healthiness access, and preventing the life of the human being. In this study of the article, the comprehensive survey of various big data healthcare diagnostics is described with an assortment of big data techniques and tools that might be deployed through cloud, wireless, and Internet of Things settings. (C) 2021 INT TRANS J ENG MANAG SCI TECH.
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页数:10
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