dc.contributor.author | Mohamed-Rida, B. | |
dc.contributor.author | Starkov, P. | |
dc.contributor.author | Manzano, S. | |
dc.contributor.author | Hugon, F. | |
dc.contributor.author | Caros, J. S. I. | |
dc.contributor.author | Gervaixl, A. | |
dc.date.accessioned | 2021-12-09T13:59:43Z | |
dc.date.available | 2021-12-09T13:59:43Z | |
dc.date.issued | 2018 | |
dc.identifier.citation | Swiss Medical Weekly, vol. 148, pp. 2S-2S, May 2018. | |
dc.identifier.isbn | 1424-7860 | |
dc.identifier.uri | https://yoda.csem.ch/handle/20.500.12839/214 | |
dc.description.abstract | With 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.subject | General and Internal Medicine | |
dc.title | DIAGNOSTIC PERFORMANCE OF AN UNSUPERVISED ELECTRONIC STETHOSCOPE FOR COMMUNITY-ACQUIRED CHILDHOOD PNEUMONIA IN A PAEDIATRIC EMERGENCY DEPARTMENT: A FEASIBILITY CASE-CONTROL STUDY | |
dc.type | Journal Article | |
dc.type.csemdivisions | Div-E | |
dc.type.csemresearchareas | Digital Health | |