Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19-Reference-Cited by-同舟云学术

Automated lung sound analysis using the LungPass platform: a sensitive and specific tool for identifying lower respiratory tract involvement in COVID-19

Published:2021-09-16 Issue:6 Volume:58 Page:2101907
ISSN:0903-1936
Container-title:European Respiratory Journal
language:en
Short-container-title:Eur Respir J

Author:

Lapteva Elena A.,Kharevich Olga N.,Khatsko Victoria V.,Voronova Natalia A.,Chamko Maksim V.,Bezruchko Irina V.,Katibnikova Elena I.,Loban Elena I.,Mouawie Mostafa M.,Binetskaya Helena,Aleshkevich Sergey,Karankevich Aleksey,Dubinetski Vitaly,Vestbo Jørgen^ORCID,Mathioudakis Alexander G.^ORCID

Funder

National Institute for Health Research

Healthy Networks

Publisher

European Respiratory Society (ERS)

Subject

Pulmonary and Respiratory Medicine

Reference11 articles.

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4. Clinical features of 154 COVID-19 patients and the parameters for the effective detection of pneumonia at the time of the initial diagnosis in Japan;Morikawa;Intern Med,2021

5. Radiographic findings of SARS-CoV-2 infection;Marco;J Am Coll Emerg Physicians Open,2021

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2. The effects of simple graphical and mental visualization of lung sounds in teaching lung auscultation during clinical clerkship: A preliminary study;PLOS ONE;2023-03-17

3. A machine learning approach to the development and prospective evaluation of a pediatric lung sound classification model;Scientific Reports;2023-01-23

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