PropertyValue
is ?:annotates of
?:authorAffiliation
  • [\'Fresenius Medical Care, Global Medical Office, Waltham, Massachusetts.\', \'Division of Nephrology, Maastricht University Medical Center, Maastricht, The Netherlands.\', \'Fresenius Medical Care North America, Medical Office, Waltham, Massachusetts.\', \'Nursing & Clinical Services, Fresenius Kidney Care, Waltham, Massachusetts.\', \'Fresenius Medical Care Deutschland GmbH, EMEA Medical Office, Bad Homburg, Germany.\', \'Research Division, Renal Research Institute, New York, New York.\', \'Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York.\', \'Fresenius Medical Care AG & Co. KGaA, Global Medical Office, Bad Homburg, Germany.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.34067/KID.0003802020
?:hasPublicationType
?:journal
  • Kidney360
is ?:pmid of
?:pmid
?:pmid
  • 35369017
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • -1.0
?:rankingScore_hIndex
  • -1
?:title
  • Machine Learning for Prediction of Patients on Hemodialysis with an Undetected SARS-CoV-2 Infection.
?:type
?:year
  • 2021

Metadata

Anon_0  
expand all