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

The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern and early assessment would be vital. Here, the authors show that a deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness ba...

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Autores principales:	Wenhua Liang, Jianhua Yao, Ailan Chen, Qingquan Lv, Mark Zanin, Jun Liu, SookSan Wong, Yimin Li, Jiatao Lu, Hengrui Liang, Guoqiang Chen, Haiyan Guo, Jun Guo, Rong Zhou, Limin Ou, Niyun Zhou, Hanbo Chen, Fan Yang, Xiao Han, Wenjing Huan, Weimin Tang, Weijie Guan, Zisheng Chen, Yi Zhao, Ling Sang, Yuanda Xu, Wei Wang, Shiyue Li, Ligong Lu, Nuofu Zhang, Nanshan Zhong, Junzhou Huang, Jianxing He
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2ee4dd97fb1f4849aebac304d8ba36b8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:2ee4dd97fb1f4849aebac304d8ba36b82021-12-02T16:08:13ZEarly triage of critically ill COVID-19 patients using deep learning10.1038/s41467-020-17280-82041-1723https://doaj.org/article/2ee4dd97fb1f4849aebac304d8ba36b82020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17280-8https://doaj.org/toc/2041-1723The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern and early assessment would be vital. Here, the authors show that a deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness based on clinical characteristics at admission.Wenhua LiangJianhua YaoAilan ChenQingquan LvMark ZaninJun LiuSookSan WongYimin LiJiatao LuHengrui LiangGuoqiang ChenHaiyan GuoJun GuoRong ZhouLimin OuNiyun ZhouHanbo ChenFan YangXiao HanWenjing HuanWeimin TangWeijie GuanZisheng ChenYi ZhaoLing SangYuanda XuWei WangShiyue LiLigong LuNuofu ZhangNanshan ZhongJunzhou HuangJianxing HeNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-7 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Wenhua Liang Jianhua Yao Ailan Chen Qingquan Lv Mark Zanin Jun Liu SookSan Wong Yimin Li Jiatao Lu Hengrui Liang Guoqiang Chen Haiyan Guo Jun Guo Rong Zhou Limin Ou Niyun Zhou Hanbo Chen Fan Yang Xiao Han Wenjing Huan Weimin Tang Weijie Guan Zisheng Chen Yi Zhao Ling Sang Yuanda Xu Wei Wang Shiyue Li Ligong Lu Nuofu Zhang Nanshan Zhong Junzhou Huang Jianxing He Early triage of critically ill COVID-19 patients using deep learning
description	The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical illness is of major concern and early assessment would be vital. Here, the authors show that a deep learning-based survival model can predict the risk of COVID-19 patients developing critical illness based on clinical characteristics at admission.
format	article
author	Wenhua Liang Jianhua Yao Ailan Chen Qingquan Lv Mark Zanin Jun Liu SookSan Wong Yimin Li Jiatao Lu Hengrui Liang Guoqiang Chen Haiyan Guo Jun Guo Rong Zhou Limin Ou Niyun Zhou Hanbo Chen Fan Yang Xiao Han Wenjing Huan Weimin Tang Weijie Guan Zisheng Chen Yi Zhao Ling Sang Yuanda Xu Wei Wang Shiyue Li Ligong Lu Nuofu Zhang Nanshan Zhong Junzhou Huang Jianxing He
author_facet	Wenhua Liang Jianhua Yao Ailan Chen Qingquan Lv Mark Zanin Jun Liu SookSan Wong Yimin Li Jiatao Lu Hengrui Liang Guoqiang Chen Haiyan Guo Jun Guo Rong Zhou Limin Ou Niyun Zhou Hanbo Chen Fan Yang Xiao Han Wenjing Huan Weimin Tang Weijie Guan Zisheng Chen Yi Zhao Ling Sang Yuanda Xu Wei Wang Shiyue Li Ligong Lu Nuofu Zhang Nanshan Zhong Junzhou Huang Jianxing He
author_sort	Wenhua Liang
title	Early triage of critically ill COVID-19 patients using deep learning
title_short	Early triage of critically ill COVID-19 patients using deep learning
title_full	Early triage of critically ill COVID-19 patients using deep learning
title_fullStr	Early triage of critically ill COVID-19 patients using deep learning
title_full_unstemmed	Early triage of critically ill COVID-19 patients using deep learning
title_sort	early triage of critically ill covid-19 patients using deep learning
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/2ee4dd97fb1f4849aebac304d8ba36b8
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Early triage of critically ill COVID-19 patients using deep learning

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