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  • [\'Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa. Electronic address: mpahar@sun.ac.za.\', \'SAMRC Centre for Tuberculosis Research, DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa. Electronic address: marisat@sun.ac.za.\', \'SAMRC Centre for Tuberculosis Research, DSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, South Africa. Electronic address: rw1@sun.ac.za.\', \'Department of Electrical and Electronic Engineering, Stellenbosch University, South Africa. Electronic address: trn@sun.ac.za.\']
?:citedBy
  • -1
?:creator
?:doi
?:doi
  • S0010-4825(21)00366-810.1016/j.compbiomed.2021.104572
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  • Computers in biology and medicine
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  • 34182331
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  • 0.591
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  • 68
?:title
  • COVID-19 cough classification using machine learning and global smartphone recordings.
?:type
?:year
  • 2021

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