PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Sensyne Health Plc, Schrodinger Building, Heatley Road, Oxford Science Park, Oxford, OX4 4GE, UK. stefan.heldt@sensynehealth.com.\', \'Chelsea and Westminster Hospital NHS Foundation Trust, 369 Fulham Road, London, SW10 9NH, UK.\', \'Academic Department of Anaesthesia and Intensive Care Medicine, Imperial College London, Chelsea and Westminster Campus, 369 Fulham Road, London, SW10 9NH, UK.\', \'Sensyne Health Plc, Schrodinger Building, Heatley Road, Oxford Science Park, Oxford, OX4 4GE, UK.\', \'Women\'s Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.\', \'Nuffield Department of Women\'s and Reproductive Health, University of Oxford, Women\'s Centre, John Radcliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.\', \'Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, OX3 7DQ, UK.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41598-021-83784-y
?:doi
?:hasPublicationType
?:journal
  • Scientific reports
is ?:pmid of
?:pmid
?:pmid
  • 33603086
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.533
?:rankingScore_hIndex
  • 122
is ?:relation_isRelatedTo_publication of
?:title
  • Early risk assessment for COVID-19 patients from emergency department data using machine learning.
?: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/33603086>
<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/33603086>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all