Deep learning for electronic health records: A comparative review of multiple deep neural architectures

GSTDTAP > 地球科学

	Deep learning for electronic health records: A comparative review of multiple deep neural architectures
	Journal of Biomedical Informatics
	2020-01-23
出版年	2020
国家	英国
领域	地球科学 ; 资源环境
英文摘要	Jose Roberto Ayala Solares, Francesca Elisa Diletta Raimondia, Yajie Zhua, Fatemeh Rahimiana, Dexter Canoy, Jenny Tran, Ana Catarina Pinho Gomes, Amir H. Payberaha, Mariagrazia Zottolia, Milad Nazarzadeh, Nathalie Conrad, Kazem Rahimi, Gholamreza Salimi-Khorshidia
URL	查看原文
来源平台	Oxford Martin School, University of Oxford
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/270772
专题	地球科学资源环境科学
推荐引用方式 GB/T 7714	Journal of Biomedical Informatics. Deep learning for electronic health records: A comparative review of multiple deep neural architectures,2020.