Big Data Analytics in Healthcare Systems

被引：17

作者：

Wang, Lidong ^{[1
]}

Alexander, Cheryl Ann ^{[2
]}

机构：

[1] Mississippi State Univ, Inst Syst Engn Res, Vicksburg, MS 39180 USA

[2] Inst Informat Technol Innovat & Smart Healthcare, Vicksburg, MS USA

来源：

INTERNATIONAL JOURNAL OF MATHEMATICAL ENGINEERING AND MANAGEMENT SCIENCES | 2019年 / 4卷 / 01期

关键词：

Big data; Big Data analytics; Healthcare; Personalized medicine; Precision medicine; Cloud computing; Stream processing; DIAGNOSTICS;

D O I：

10.33889/IJMEMS.2019.4.1-002

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Big Data analytics can improve patient outcomes, advance and personalize care, improve provider relationships with patients, and reduce medical spending. This paper introduces healthcare data, big data in healthcare systems, and applications and advantages of Big Data analytics in healthcare. We also present the technological progress of big data in healthcare, such as cloud computing and stream processing. Challenges of Big Data analytics in healthcare systems are also discussed.

引用

页码：17 / 26

页数：10

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