CASIA OpenIR  > 学术期刊  > Machine Intelligence Research
Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey
Zhen-Jie Yao1; Jie Bi1; Yi-Xin Chen2
发表期刊International Journal of Automation and Computing
ISSN1476-8186
2018
卷号15期号:6页码:643-655
摘要In the recent years, deep learning models have addressed many problems in various fields. Meanwhile, technology development has spawned the big data in healthcare rapidly. Nowadays, application of deep learning to solve the problems in healthcare is a hot research direction. This paper introduces the application of deep learning in healthcare extensively. We focus on 7 application areas of deep learning, which are electronic health records (EHR), electrocardiography (ECG), electroencephalogram (EEG), community healthcare, data from wearable devices, drug analysis and genomics analysis. The scope of this paper does not cover medical image processing since other researchers have already substantially reviewed it. In addition, we analyze the merits and drawbacks of the existing works, analyze the existing challenges, and discuss future trends.
关键词Deep learning healthcare electronic health records (EHR) neural networks survey.
DOI10.1007/s11633-018-1136-9
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被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42441
专题学术期刊_Machine Intelligence Research
作者单位1.Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing 100124, China
2.Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA
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Zhen-Jie Yao,Jie Bi,Yi-Xin Chen. Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey[J]. International Journal of Automation and Computing,2018,15(6):643-655.
APA Zhen-Jie Yao,Jie Bi,&Yi-Xin Chen.(2018).Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey.International Journal of Automation and Computing,15(6),643-655.
MLA Zhen-Jie Yao,et al."Applying Deep Learning to Individual and Community Health Monitoring Data: A Survey".International Journal of Automation and Computing 15.6(2018):643-655.
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