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

Research output: Contribution to journal › Conference Abstract/Poster in journal › Academic

Original language	English
Number of pages	2
Journal	European Respiratory Journal
Volume	60
DOIs	https://doi.org/10.1183/13993003.congress-2022.1062
Publication status	Published - 4 Sept 2022

Access to Document

@article{cfb4b195fa064313946cfd06527f693c,

title = "Developing a multivariate prediction model for the detection of COVID-19 from crowd-sourced respiratory voice data",

author = "W. Aljbawi and S. Simons and V. Urovi",

year = "2022",

month = sep,

day = "4",

doi = "10.1183/13993003.congress-2022.1062",

language = "English",

volume = "60",

journal = "European Respiratory Journal",

issn = "0903-1936",

publisher = "European Respiratory Society",

}

TY - JOUR

T1 - Developing a multivariate prediction model for the detection of COVID-19 from crowd-sourced respiratory voice data

AU - Aljbawi, W.

AU - Simons, S.

AU - Urovi, V.

PY - 2022/9/4

Y1 - 2022/9/4

U2 - 10.1183/13993003.congress-2022.1062

DO - 10.1183/13993003.congress-2022.1062

M3 - Conference Abstract/Poster in journal

SN - 0903-1936

VL - 60

JO - European Respiratory Journal

JF - European Respiratory Journal

ER -