PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY.\', \'New York-Presbyterian Hospital, Weill Cornell Medicine, New York, NY.\', \'Department of Population Health Sciences, Weill Cornell Medicine, New York, NY.\', \'New York-Presbyterian Hospital, Lower Manhattan Hospital, New York, NY.\', \'Department of Emergency Medicine, Weill Cornell Medicine, New York, NY.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1093/clinchem/hvaa200
?:doi
?:hasPublicationType
?:journal
  • Clinical chemistry
is ?:pmid of
?:pmid
?:pmid
  • 32821907
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 2.281
?:rankingScore_hIndex
  • 195
?:title
  • Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning.
?:type
?:year
  • 2020

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/32821907>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/32821907>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all