Developing a multivariate prediction model for the detection of COVID-19 from crowd-sourced respiratory voice data.

W. Aljbawi (Maastricht, Netherlands), S. Simons (Maastricht, Netherlands), V. Urovi (Maastricht, Netherlands)

Source: International Congress 2022 – Digital medicine for COVID-19
Session: Digital medicine for COVID-19
Session type: Oral Presentation
Number: 1626

Congress or journal article abstractWebcastPDF journal article, handout or slidesE-poster

Rating: 0
You must login to grade this presentation.

Share or cite this content

Citations should be made in the following way:
W. Aljbawi (Maastricht, Netherlands), S. Simons (Maastricht, Netherlands), V. Urovi (Maastricht, Netherlands). Developing a multivariate prediction model for the detection of COVID-19 from crowd-sourced respiratory voice data.. 1626

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.