Automated cough detection in COVID-19 and non-COVID-19 pneumonia using machine learning-based technology

F. Rassouli (St. Gallen, Switzerland), M. Boesch (St. Gallen, Switzerland), F. Baty (St. Gallen, Switzerland), F. Barata (Zurich, Switzerland), D. Cleres (Zurich, Switzerland), P. Tinschert (Zurich, Switzerland), I. Shih (Zurich, Switzerland), E. Fleisch (Zurich, Switzerland), M. Brutsche (St. Gallen, Switzerland)

Source: International Congress 2022 – COVID infections prognosis: risk factors and treatment

Session: COVID infections prognosis: risk factors and treatment
Session type: Thematic Poster
Number: 3382

Rating:

You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
F. Rassouli (St. Gallen, Switzerland), M. Boesch (St. Gallen, Switzerland), F. Baty (St. Gallen, Switzerland), F. Barata (Zurich, Switzerland), D. Cleres (Zurich, Switzerland), P. Tinschert (Zurich, Switzerland), I. Shih (Zurich, Switzerland), E. Fleisch (Zurich, Switzerland), M. Brutsche (St. Gallen, Switzerland). Automated cough detection in COVID-19 and non-COVID-19 pneumonia using machine learning-based technology. 3382

You must login to share this Presentation/Article on Twitter, Facebook, LinkedIn or by email.

Member's Comments

No comment yet.

You must Login to comment this presentation.