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  • [\'Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.\', \'Surgery C Department, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.\', \'The Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer Sheva, Israel.\', \'Corona Department and Internal Medicine \'T\', The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.\', \'Clinical Microbiology Laboratory, The Chaim Sheba Medical Center, Ramat Gan, Tel Hashomer, Israel.\', \'Corona Intensive Care Unit, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.\', \'Department of Emergency Medicine, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.\', \'Endocrine Oncology Bioinformatics Lab, The Chaim Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel.\', \'Infectious Diseases Unit, The Chaim Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel.\', \'Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. amit.tirosh@sheba.health.gov.il.\', \'Endocrine Oncology Bioinformatics Lab, The Chaim Sheba Medical Center, Tel Aviv University, Tel Aviv, Israel. amit.tirosh@sheba.health.gov.il.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1007/s11739-020-02475-0
?:hasPublicationType
?:journal
  • Internal and emergency medicine
is ?:pmid of
?:pmid
?:pmid
  • 32812204
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  • 0.735
?:rankingScore_hIndex
  • 36
?:title
  • Utilization of machine-learning models to accurately predict the risk for critical COVID-19.
?:type
?:year
  • 2020

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