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  • [\'Hangzhou Xiaoshan District Center for Disease Control and Prevention, Hangzhou, China.\', \'Hangzhou Wowjoy Information Technology Co., Ltd, Hangzhou, China.\', \'Department of Infectious Diseases, ShuLan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China.\', \'State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Centre for Infectious Diseases, Collaborative Innovation Centre for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang Province, China.\', \'Hangzhou Wowjoy Information Technology Co., Ltd, Hangzhou, China. bin.ju@wowjoy.cn.\', \'Department of Infectious Diseases, ShuLan (Hangzhou) Hospital Affiliated to Zhejiang Shuren University Shulan International Medical College, Hangzhou, China. lingling.tang@shulan.com.\']
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?:doi
  • 10.1038/s41598-021-82492-x
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  • Scientific reports
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  • Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.
?:type
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  • 2021

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