PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Engineering Science, University of Oxford, Oxford, United Kingdom.\', \'Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.\', \'Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1371/journal.pone.0260476
?:doi
?:hasPublicationType
?:journal
  • PloS one
is ?:pmid of
?:pmid
?:pmid
  • 34813632
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.164
?:rankingScore_hIndex
  • 241
is ?:relation_isRelatedTo_publication of
?:title
  • Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.
?:type
?:year
  • 2021

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/34813632>
<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/34813632>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all