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is ?:annotates of
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  • [\'Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.\', \'Artificial Intelligence Lab, Head Office Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.\', \'The School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China.\', \'Clinical Systems, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.\', \'Department of Radiology, Queen Mary Hospital, Hong Kong, SAR, China.\', \'Department of Medical Imaging, The University of Hong Kong-Shenzhen Hospital, Shenzhen, China.\', \'Department of Radiology, Pamela Youde Nethersole Eastern Hospital, Hong Kong, SAR, China.\', \'Department of Radiology, Hong Kong Sanatorium & Hospital, Hong Kong, SAR, China.\', \'Department of Radiology and Imaging, Queen Elizabeth Hospital, Hong Kong, SAR, China.\', \'Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China.\', \'Department of Imaging and Interventional Radiology, Prince of Wales Hospital, Hong Kong, SAR, China.\', \'Department of Radiology, Tuen Muen Hospital, Hong Kong, SAR, China.\', \'Department of Medicine, Princess Margaret Hospital, Hong Kong, SAR, China.\', \'Health Informatics, Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.\', \'Emergency Medicine Unit, Li Ka Shing, Faculty of Medicine, The University of Hong Kong, Hong Kong, China.\', \'Information Technology and Health Informatics Division, Hospital Authority, Hong Kong, SAR, China.\', \'Department of Diagnostic Radiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, SAR, China. varv@hku.hk.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41598-021-93719-2
?:doi
?:hasPublicationType
?:journal
  • Scientific reports
is ?:pmid of
?:pmid
?:pmid
  • 34244563
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.533
?:rankingScore_hIndex
  • 122
?:title
  • Machine learning application for the prediction of SARS-CoV-2 infection using blood tests and chest radiograph.
?:type
?:year
  • 2021

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