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  • [\'Division of Paediatric Emergency Medicine, Department of Women, Child and Adolescent, Geneva University Hospitals, 47 Avenue de la Roseraie, 1205, Geneva, Switzerland.\', \'Intelligent Global Health, Machine Learning and Optimization (MLO) Laboratory, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.\', \'Quality of Care Unit, Geneva University Hospitals, Geneva, Switzerland.\', \'Essential Tech Centre, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland.\', \'Geneva University Hospitals, Geneva, Switzerland.\', \'Division of Primary Care Medicine, Department of Community Medicine, Geneva University Hospitals, Geneva, Switzerland.\', \'Department of Internal Medicine and Rehabilitation, Geneva University Hospitals, Geneva, Switzerland.\', \'Department of Micro-Engineering, Geneva School of Engineering, Architecture and Landscape (HEPIA), Geneva, Switzerland.\', \'Paediatric Pulmonology Unit, Department of Women, Child and Adolescent, University Hospitals of Geneva, Geneva, Switzerland.\', \'Division of Paediatric Emergency Medicine, Department of Women, Child and Adolescent, Geneva University Hospitals, 47 Avenue de la Roseraie, 1205, Geneva, Switzerland. Johan.Siebert@hcuge.ch.\']
?:citedBy
  • -1
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?:doi
  • 10.1186/s12890-021-01467-w
?:doi
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?:journal
  • BMC pulmonary medicine
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?:pmid
?:pmid
  • 33761909
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  • 1.373
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  • 46
?:title
  • Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.
?:type
?:year
  • 2021

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