Big Data in Health Care: Applications and Challenges

被引：1
作者：
Hong L. [1 ,3 ]
Luo M. [2 ]
Wang R. [1 ,3 ]
Lu P. [1 ,3 ]
Lu W. [1 ,3 ]
Lu L. [1 ,3 ]
机构：
[1] School of Information Management, Wuhan University, Wuhan
[2] Cincinnati children's Hospital Medical Center, Cincinnati, OH
[3] School of Information Management, Wuhan University, Wuhan
来源：
Data and Information Management | 2018年 / 2卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Big Data; cloud computing; medical applications; public health;
D O I：
10.2478/dim-2018-0014
中图分类号：
学科分类号：
摘要：
The concept of Big Data is popular in a variety of domains. The purpose of this review was to summarize the features, applications, analysis approaches, and challenges of Big Data in health care. Big Data in health care has its own features, such as heterogeneity, incompleteness, timeliness and longevity, privacy, and ownership. These features bring a series of challenges for data storage, mining, and sharing to promote health-related research. To deal with these challenges, analysis approaches focusing on Big Data in health care need to be developed and laws and regulations for making use of Big Data in health care need to be enacted. From a patient perspective, application of Big Data analysis could bring about improved treatment and lower costs. In addition to patients, government, hospitals, and research institutions could also benefit from the Big Data in health care. © 2019 © 2018 Liang Hong et al., published by Sciendo
引用
收藏
页码：175 / 197
页数：22
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