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  • [\'Department of Critical Care Medicine, Rambam Health Care Campus, Haifa, Israel.\', \'Faculty of Industrial Engineering and Management, Technion - Israel Institute of Technology, Haifa, Israel.\', \'Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel.\', \'Division of General Medicine, Medical Directorate, Israel Ministry of Health, Jerusalem, Israel.\', \'Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Tel HaShomer, Israel.\', \'Pediatric Intensive Care, Rambam Health Care Campus, Haifa, Israel.\', \'Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, Israel.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1093/jamia/ocab005
?:hasPublicationType
?:journal
  • Journal of the American Medical Informatics Association : JAMIA
is ?:pmid of
?:pmid
?:pmid
  • 33479727
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.848
?:rankingScore_hIndex
  • 127
?:title
  • Development and validation of a machine learning model predicting illness trajectory and hospital utilization of COVID-19 patients: A nationwide study.
?:type
?:year
  • 2021

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