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is ?:annotates of
?:authorAffiliation
  • [\'Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3216, Australia.\', \'Department of Computer Engineering, School of Technical and Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.\', \'Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.\', \'Department of Computer Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.\', \'Computer Engineering Department, Ferdowsi University of Mashhad, Mashhad, Iran.\', \'Faculty of Electrical and Computer Engineering, Biomedical Data Acquisition Lab, K. N. Toosi University of Technology, Tehran, Iran.\', \'Institute for Intelligent Systems Research and Innovation (IISRI), Deakin University, Waurn Ponds, VIC 3216, Australia. r.alizadehsani@deakin.edu.au.\', \'Department of Signal Theory, Networking and Communications, Universidad de Granada, Granada, Spain.\', \'Department of Psychiatry, University of Cambridge, Cambridge, UK.\', \'System Administrator, Dibrugarh University, Assam, 786004, India.\', \'Omid Hospital, Iran University of Medical Sciences, Tehran, Iran.\', \'Department of Mathematics, Faculty of Science, University of Bojnord, Bojnord, Iran.\', \'Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, 3220, Australia.\', \'Cardiovascular Division, The George Institute for Global Health, Newtown, Australia.\', \'Sydney Medical School, University of Sydney, Camperdown, Australia.\']
?:citedBy
  • -1
?:creator
?:doi
  • 10.1038/s41598-021-93543-8
?:doi
?:hasPublicationType
?:journal
  • Scientific reports
is ?:pmid of
?:pmid
?:pmid
  • 34321491
?:publication_isRelatedTo_Disease
?:rankingScore_SJR
  • 1.533
?:rankingScore_hIndex
  • 122
?:title
  • Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients.
?:type
?:year
  • 2021

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