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is ?:annotates of
?:authorAffiliation
  • [\'Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.\', \'Department of Health Information Technology, School of Paramedical, Ilam University of Medical Sciences, Ilam, Iran.\', \'Department of Health Information Management, School of Health Management and Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.\', \'Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran. h.kazemi@abadanums.ac.ir.\', \'Student Research Committee, Abadan University of Medical Sciences, Abadan, Iran. h.kazemi@abadanums.ac.ir.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.1186/s12911-021-01742-0
?:hasPublicationType
?:journal
  • BMC medical informatics and decision making
is ?:pmid of
?:pmid
?:pmid
  • 34983496
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.812
?:rankingScore_hIndex
  • 56
?:title
  • Comparing machine learning algorithms for predicting COVID-19 mortality.
?:type
?:year
  • 2022

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