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  • [\'Clalit Research Institute, Innovation Division, Clalit Health Services, Toval 40, Ramat-Gan, Israel.\', \'School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Ben-Gurion blvd. 1, Be\'er Sheva, Israel.\', \'Department of Computer Science, Ben Gurion University of the Negev, Ben-Gurion blvd. 1, Be\'er Sheva, Israel.\', \'Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Herzl 234, Rehovot, Israel.\', \'Faculty of Industrial Engineering and Management, Technion University, Haifa, Israel.\', \'Community Medical Services Division, Clalit Health Services, Arlozorov 101, Tel Aviv, Israel.\', \'Clalit Research Institute, Innovation Division, Clalit Health Services, Toval 40, Ramat-Gan, Israel. noada@clalit.org.il.\', \'School of Public Health, Faculty of Health Sciences, Ben Gurion University of the Negev, Ben-Gurion blvd. 1, Be\'er Sheva, Israel. noada@clalit.org.il.\', \'Department of Computer Science, Ben Gurion University of the Negev, Ben-Gurion blvd. 1, Be\'er Sheva, Israel. noada@clalit.org.il.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1038/s41467-020-18297-9
?:hasPublicationType
?:journal
  • Nature communications
is ?:pmid of
?:pmid
?:pmid
  • 32895375
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  • 6.582
?:rankingScore_hIndex
  • 198
?:title
  • Developing a COVID-19 mortality risk prediction model when individual-level data are not available.
?:type
?:year
  • 2020

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