Prediction of Disease Progression of COVID-19 Based on Machine Learning: A Retrospective Multicentre Cohort Study in Wuhan, China

Xu, Fumin, Nian, Yongjian, Chen, Xiao, Yin, Xinru, Qiu, Qiu, Xiao, Jingjing, Qiao, Liang, He, Mi, Tang, Liang, Li, Qi, Tan, Hu, Li, Li, Cao, Guoqiang, Li, Xiawei, Zhang, Qiao, Lv, Yanlin, Xiao, Shili, Zhao, Rong, Guo, Yan, Chen, Mingsheng, Chen, Dongfeng, Wen, Liangzhi, Wang, Bin, Liu, Kaijun

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Prediction of Disease Progression of COVID-19 Based on Machine Learning: A Retrospective Multicentre Cohort Study in Wuhan, China

Xu, Fumin, Nian, Yongjian, Chen, Xiao, Yin, Xinru, Qiu, Qiu, Xiao, Jingjing, Qiao, Liang, He, Mi, Tang, Liang, Li, Qi, Tan, Hu, Li, Li, Cao, Guoqiang, Li, Xiawei, Zhang, Qiao, Lv, Yanlin, Xiao, Shili, Zhao, Rong, Guo, Yan, Chen, Mingsheng, Chen, Dongfeng, Wen, Liangzhi, Wang, Bin, Liu, Kaijun.

SSRN; 2020.

Preprint | SSRN | ID: ppcovidwho-1012

ABSTRACT

ABSTRACT

Background:

Since December, 2019, the outbreak of COVID-19 caused by a novel betacoronavirus is still accelerating throughout the world. Majority of infected in

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Collection: Preprints Database: SSRN Year: 2020 Document Type: Preprint

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Collection: Preprints Database: SSRN Year: 2020 Document Type: Preprint