BIG DATA for Healthcare: A Survey

被引：36

作者：

Bahri, Safa ^{[1
]}

Zoghlami, Nesrine ^{[1
]}

Abed, Mourad ^{[2
]}

Tavares, Joao Manuel R. S. ^{[3
]}

机构：

[1] Univ Tunis El Manar, LTSIRS Lab, Tunis 1002, Tunisia

[2] Univ Valenciennes & Hainaut Cambresis, Automat Mechan & Human IT Lab, F-59313 Valenciennes, France

[3] Univ Porto, Dept Engn Mecan, Inst Ciencia & Inovacao Engn Mecan & Engn Ind, Fac Engn, P-4200465 Porto, Portugal

来源：

IEEE ACCESS | 2019年 / 7卷

关键词：

Big data; big data analytics; healthcare; SUPPLY CHAIN MANAGEMENT; DATA ANALYTICS; CHALLENGES; SYSTEMS; ISSUES;

D O I：

10.1109/ACCESS.2018.2889180

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recently, the massification of new technologies, which has been adopted by a large majority of the world population, has accumulated a tremendous amount of data, including clinical data. This clinical data have been gathered up and interpreted by medical organizations in order to gain insights and knowledge useful for clinical decisions, drug recommendations, and better diagnoses, among many other uses. This paper highlights the enormous impacts of big data on medical stakeholders, patients, physicians, pharmaceutical and medical operators, and healthcare insurers, and also reviews the different challenges that must be taken into account to get the best benefits from all this big data and the available applications.

引用

页码：7397 / 7408

页数：12

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