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Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks

文献类型：期刊论文

作者Xiong, Longxin4; Ye, Hainan1,5; Wang, Lei5,7; Ren, Rui6,7; Zhou, Xiexuan6,7; Cheng, Yumei2; Du, Juan3; Dai, Shaopeng6,7; Yin, Silin7; Du, Mengjia6,7
刊名IEEE ACCESS
出版日期2019
卷号7页码:15590-15611
关键词Big medical data quantified self disease classification disease diagnosis drug discovery publicly available data benchmarks algorithms systems multi-disciplinary collaboration
ISSN号2169-3536
DOI10.1109/ACCESS.2019.2891948
英文摘要Big medical data pose great challenges to life scientists, clinicians, computer scientists, and engineers. In this paper, a group of life scientists, clinicians, computer scientists, and engineers sit together to discuss several fundamental issues. First, what are the unique characteristics of big medical data different from those of the other domains? Second, what are the prioritized tasks in clinician research and practices utilizing big medical data? And do we have enough publicly available data sets for performing those tasks? Third, do the state-of-the-practice and state-of-the-art algorithms perform good jobs? Fourth, are there any benchmarks for measuring algorithms and systems for big medical data? Fifth, what are the performance gaps of the state-of-the-practice and state-of-the-art systems handling big medical data currently or in the future? Finally, but not least, are we, life scientists, clinicians, computer scientists, and engineers, ready for working together? We believe that answering the above-mentioned issues will help define and shape the landscape of big medical data.
资助项目National Key Research and Development Plan of China[2016YFB1000600] ; National Key Research and Development Plan of China[2016YFB1000605] ; National Key Research and Development Plan of China[2016YFB1000601]
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000458866300001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/3408]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Zhang, Zhifei
作者单位1.Beijing Acad Frontier Sci & Technol, Benchmarking Res Ctr, Beijing 100080, Peoples R China
2.Capital Med Univ, Beijing Obstet & Gynecol Hosp, Beijing 100026, Peoples R China
3.Capital Med Univ, Beijing Childrens Hosp, Natl Ctr Childrens Hlth, Beijing 100045, Peoples R China
4.Nanchang First Hosp, Nanchang 330008, Jiangxi, Peoples R China
5.Int Open Benchmarking Council, Dover, DE 19901 USA
6.Univ Chinese Acad Sci, Sch Comp Sci & Technol, Beijing 100049, Peoples R China
7.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
8.Capital Med Univ, Dept Physiol & Pathophysiol, Beijing 100069, Peoples R China
推荐引用方式
GB/T 7714		 Xiong, Longxin,Ye, Hainan,Wang, Lei,et al. Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks[J]. IEEE ACCESS,2019,7:15590-15611.
APA Xiong, Longxin.,Ye, Hainan.,Wang, Lei.,Ren, Rui.,Zhou, Xiexuan.,...&Huang, Yunyou.(2019).Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks.IEEE ACCESS,7,15590-15611.
MLA Xiong, Longxin,et al."Landscape of Big Medical Data: A Pragmatic Survey on Prioritized Tasks".IEEE ACCESS 7(2019):15590-15611.

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来源：计算技术研究所

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