PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Department of Industrial Engineering, Karadeniz Technical University, Ortahisar, 61080, Trabzon, Turkey; Department of Industrial Engineering, Yildiz Technical University, Beşiktaş, 34349, İstanbul, Turkey. Electronic address: ertugrulayyildiz@ktu.edu.tr.\', \'Department of Industrial Engineering, Duzce University, Konuralp, 81620, Duzce, Turkey.\', \'Department of Industrial Engineering, Yildiz Technical University, Beşiktaş, 34349, İstanbul, Turkey.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0010-4825(21)00823-410.1016/j.compbiomed.2021.105029
?:hasPublicationType
?:journal
  • Computers in biology and medicine
is ?:pmid of
?:pmid
?:pmid
  • 34794082
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.591
?:rankingScore_hIndex
  • 68
?:title
  • Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain.
?: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/34794082>
<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/34794082>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all