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Article: Addendum: Early triage of critically ill COVID-19 patients using deep learning

DC FieldValueLanguage
dc.contributor.authorLiang, Wenhua-
dc.contributor.authorYao, Jianhua-
dc.contributor.authorChen, Ailan-
dc.contributor.authorLv, Qingquan-
dc.contributor.authorZanin, Mark-
dc.contributor.authorLiu, Jun-
dc.contributor.authorWong, Sook San-
dc.contributor.authorLi, Yimin-
dc.contributor.authorLu, Jiatao-
dc.contributor.authorLiang, Hengrui-
dc.contributor.authorChen, Guoqiang-
dc.contributor.authorGuo, Haiyan-
dc.contributor.authorGuo, Jun-
dc.contributor.authorZhou, Rong-
dc.contributor.authorOu, Limin-
dc.contributor.authorZhou, Niyun-
dc.contributor.authorChen, Hanbo-
dc.contributor.authorYang, Fan-
dc.contributor.authorHan, Xiao-
dc.contributor.authorHuan, Wenjing-
dc.contributor.authorTang, Weimin-
dc.contributor.authorGuan, Weijie-
dc.contributor.authorChen, Zisheng-
dc.contributor.authorZhao, Yi-
dc.contributor.authorSang, Ling-
dc.contributor.authorXu, Yuanda-
dc.contributor.authorWang, Wei-
dc.contributor.authorLi, Shiyue-
dc.contributor.authorLu, Ligong-
dc.contributor.authorZhang, Nuofu-
dc.contributor.authorZhong, Nanshan-
dc.contributor.authorHuang, Junzhou-
dc.contributor.authorHe, Jianxing-
dc.date.accessioned2022-04-06T04:31:50Z-
dc.date.available2022-04-06T04:31:50Z-
dc.date.issued2021-
dc.identifier.citationNature communications, 2021, v. 12, n. 1, p. 826-
dc.identifier.urihttp://hdl.handle.net/10722/311950-
dc.languageeng-
dc.relation.ispartofNature communications-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleAddendum: Early triage of critically ill COVID-19 patients using deep learning-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1038/s41467-021-21044-3-
dc.identifier.pmid33526778-
dc.identifier.pmcidPMC7849611-
dc.identifier.scopuseid_2-s2.0-85101730121-
dc.identifier.volume12-
dc.identifier.issue1-
dc.identifier.spage826-
dc.identifier.eissn2041-1723-
dc.identifier.isiWOS:000616944400001-

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