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dc.contributor.authorMohamed-Rida, B.
dc.contributor.authorStarkov, P.
dc.contributor.authorManzano, S.
dc.contributor.authorHugon, F.
dc.contributor.authorCaros, J. S. I.
dc.contributor.authorGervaixl, A.
dc.date.accessioned2021-12-09T13:59:43Z
dc.date.available2021-12-09T13:59:43Z
dc.date.issued2018
dc.identifier.citationSwiss Medical Weekly, vol. 148, pp. 2S-2S, May 2018.
dc.identifier.isbn1424-7860
dc.identifier.urihttps://yoda.csem.ch/handle/20.500.12839/214
dc.description.abstractWith 1 million deaths, pneumonia is the leading cause of child mortality under five years of age worldwide. World Health Organization (WHO) developed a case management algorithm for the diagnosis of pneumonia. We primary aimed to characterise auscultation sounds by a digital stethoscope in acute lower respiratory infection and to develop an integrated algorithm to precise if these physiopathological patterns could be differentiated from normal clinical auscultation. We also compared automated lung sounds analysis with current WHO algorithm for consolidated bacterial pneumonia.
dc.subjectGeneral and Internal Medicine
dc.titleDIAGNOSTIC PERFORMANCE OF AN UNSUPERVISED ELECTRONIC STETHOSCOPE FOR COMMUNITY-ACQUIRED CHILDHOOD PNEUMONIA IN A PAEDIATRIC EMERGENCY DEPARTMENT: A FEASIBILITY CASE-CONTROL STUDY
dc.typeJournal Article
dc.type.csemdivisionsDiv-E
dc.type.csemresearchareasDigital Health


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