Evaluation of machine learning to detect adventitious lung sounds using digital auscultation to aid childhood pneumonia diagnosis
S. Ahmed (Dhaka, Bangladesh), H. Nair (Edinburgh, United Kingdom), S. Cunningham (Edinburgh, United Kingdom), A. Baqui (Baltimore, United States), E. Mccollum (Baltimore, United States)
Source: International Congress 2022 – Lung infections in children: from COVID-19 to postinfectious bronchiolitis obliterans
Rating: 
You must login to grade this presentation.
Share or cite this content
Citations should be made in the following way:
S. Ahmed (Dhaka, Bangladesh), H. Nair (Edinburgh, United Kingdom), S. Cunningham (Edinburgh, United Kingdom), A. Baqui (Baltimore, United States), E. Mccollum (Baltimore, United States). Evaluation of machine learning to detect adventitious lung sounds using digital auscultation to aid childhood pneumonia diagnosis. 1774
You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.
Member's Comments
Related content which might interest you:
|
|