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is ?:annotates of
?:authorAffiliation
  • [\'Public Health Research Institute of Jiangsu Province, Nanjing, China.\', \'Institute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.\', \'Department of Orthopaedics, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.\', \'Department of Computer Science, Iowa State University, Ames, IA, United States.\', \'Department of Pediatrics, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.\', \'Department of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.\', \'School of Public health, Nanjing Medical University, Nanjing, China.\', \'Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, NC, United States.\', \'Department of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, NC, United States.\', \'Department of Radiology, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.\', \'School of Data Science, University of North Carolina at Charlotte, Charlotte, NC, United States.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.2196/23948
?:hasPublicationType
?:journal
  • Journal of medical Internet research
is ?:pmid of
?:pmid
?:pmid
  • 33714935
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 2.112
?:rankingScore_hIndex
  • 102
?:title
  • A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation.
?:type
?:year
  • 2021

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