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	A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things
	Yao, Chenhui; Wu, Shuodong; Liu, Zhuo; Li, Peng
刊名	FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
	2019
卷号	94页码:140-147
关键词	Smart data Medical Internet of Things Deep learning Gallbladder stones Big data
ISSN号	0167-739X
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3221427
专题	大连理工大学
作者单位	1.China Med Univ, Shengjing Hosp, Shenyang 110004, Liaoning, Peoples R China. 2.Dalian Med Univ, Affiliated Hosp 1, Dalian 116000, Peoples R China. 3.Dalian Univ Technol, Dalian 116620, Peoples R China.
推荐引用方式 GB/T 7714	Yao, Chenhui,Wu, Shuodong,Liu, Zhuo,et al. A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2019,94:140-147.
APA	Yao, Chenhui,Wu, Shuodong,Liu, Zhuo,&Li, Peng.(2019).A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,94,140-147.
MLA	Yao, Chenhui,et al."A deep learning model for predicting chemical composition of gallstones with big data in medical Internet of Things".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 94(2019):140-147.

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