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Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes
Xu, Xiangzhen; Cui, Lizhen; Liu, Shijun; Li, Hui; Liu, Lei; Zheng, Yongqing
刊名Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
2017
卷号2017-January页码:824-829
DOI10.1109/BIBM.2017.8217761
会议名称2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
URL标识查看原文
会议日期13 November 2017 through 16 November 2017
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4589125
专题山东大学
作者单位1.School of Software Engineering, Shandong University, Shandong
2.250101, China
3.[Cui, Lizhen
4.Liu, Shijun
5.Li, Hui
6.Liu, Le
推荐引用方式
GB/T 7714
Xu, Xiangzhen,Cui, Lizhen,Liu, Shijun,et al. Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes[J]. Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017,2017,2017-January:824-829.
APA Xu, Xiangzhen,Cui, Lizhen,Liu, Shijun,Li, Hui,Liu, Lei,&Zheng, Yongqing.(2017).Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes.Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017,2017-January,824-829.
MLA Xu, Xiangzhen,et al."Predicting hospital readmission from longitudinal healthcare data using graph pattern mining based temporal phenotypes".Proceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 2017-January(2017):824-829.
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