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is ?:annotates of
?:authorAffiliation
  • [\'BCC of Central South University of Forestry and Technology, Changsha, China.\', \'Department of Computing and Mathematics, Manchester Metropolitan University, Manchester, United Kingdom.\', \'Department of Information Technology, G H Raisoni College of Engineering, Nagpur, India.\', \'School of Information Technology and Engineering, VIT University, Vellore, India.\', \'Department of Information Technology, Lord Buddha Education Foundation, Kathmandu, Nepal.\', \'School of Civil Engineering, Galgotias University, Greater Noida, India.\', \'Department of Electronics and Telecommunications Engineering, G H Raisoni College of Engineering, Nagpur, India.\', \'Department of Computer Science, College of Electrical and Computer Engineering, Chungbuk National University, Cheongju-si, South Korea.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • 10.3389/fpubh.2020.00357
?:hasPublicationType
?:journal
  • Frontiers in public health
is ?:pmid of
?:pmid
?:pmid
  • 32719767
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 0.769
?:rankingScore_hIndex
  • 23
?:title
  • COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm.
?:type
?:year
  • 2020

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