PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'University of Michigan Medical School, Ann Arbor, MI, USA.\', \'University of Puerto Rico School of Medicine, San Juan, PR, USA.\', \'Indian Institute of Information Technology Guwahati, India.\', \'Baptist Health South Florida, Miami, FL, USA.\', \'Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA.\', \'Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.\', \'Department of Emergency Medicine, University of Michigan, Ann Arbor, MI, USA. Electronic address: chfung@med.umich.edu.\']
?:citedBy
  • -1
?:creator
?:doi
  • S0735-6757(20)30809-310.1016/j.ajem.2020.09.017
?:doi
?:hasPublicationType
?:journal
  • The American journal of emergency medicine
is ?:pmid of
?:pmid
?:pmid
  • 33046294
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Predicting severe outcomes in Covid-19 related illness using only patient demographics, comorbidities and symptoms.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all