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  • [\'Pharmaceutical Sciences Postgraduate Programme, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: alexandrecobre@gmail.com.\', \'Department of Forest Engineering and Technology, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: dile.stremel@gmail.com.\', \'Department of Biochemistry, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: guilherminanoleto@ufpr.br.\', \'Pharmaceutical Sciences Postgraduate Programme, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: marianamfachi@gmail.com.\', \'Pharmaceutical Sciences Postgraduate Programme, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: monicasurek13@gmail.com.\', \'Department of Pharmacy, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: astridwiens@hotmail.com.\', \'Pharmaceutical Sciences Postgraduate Programme, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: stumpf.tonin@ufpr.br.\', \'Department of Pharmacy, Universidade Federal Do Paraná, Curitiba, Brazil. Electronic address: pontarolo@ufpr.br.\']
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  • -1
?:creator
?:doi
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  • S0010-4825(21)00325-510.1016/j.compbiomed.2021.104531
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  • Computers in biology and medicine
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  • 34091385
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is ?:relation_isRelatedTo_publication of
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  • Diagnosis and prediction of COVID-19 severity: can biochemical tests and machine learning be used as prognostic indicators?
?:type
?:year
  • 2021

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