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is ?:annotates of
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  • [\'Department of Radiology, Anqing Municipal Hospital, Anqing, Anhui, China.\', \'Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, Zhejiang, China.\', \'Jianpei Technology, Hangzhou, Zhejiang, China.\', \'Department of Radiology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China.\', \'Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, Zhejiang, China. 78123858@qq.com.\', \'Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, Zhejiang, China. 119202405@qq.com.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1186/s40001-022-00634-x
?:doi
?:hasPublicationType
?:journal
  • European journal of medical research
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?:pmid
  • 35078525
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  • 0.55
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  • 49
is ?:relation_isRelatedTo_publication of
?:title
  • CT-based radiomic nomogram for predicting the severity of patients with COVID-19.
?:type
?:year
  • 2022

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