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?:authorAffiliation
  • [\'School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong, China.\', \'KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Kunming Institute of Zoology and The Chinese University of Hong Kong, Kunming, China.\', \'CUHK Shenzhen Research Institute, Shenzhen, China.\', \'Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China.\', \'Margaret K.L. Cheung Research Centre for Management of Parkinsonism, The Chinese University of Hong Kong, Hong Kong, China.\', \'Brain and Mind Institute, The Chinese University of Hong Kong, Hong Kong, China.\', \'Hong Kong Branch of the Chinese Academy of Sciences Center for Excellence in Animal Evolution and Genetics, The Chinese University of Hong Kong, Hong Kong, China.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.2196/29544
?:hasPublicationType
?:journal
  • JMIR public health and surveillance
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?:pmid
  • 34591027
?:publication_isRelatedTo_Disease
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  • -1.0
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  • -1
?:title
  • Uncovering Clinical Risk Factors and Predicting Severe COVID-19 Cases Using UK Biobank Data: Machine Learning Approach.
?:type
?:year
  • 2021

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