Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	202–217
Journal	Exploration of Digital Health Technologies
Volume	2
DOIs	https://doi.org/10.37349/edht.2024.00022
Publication status	Published - 11 Aug 2024

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title = "Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data",

author = "Yuyang Yan and Wafaa Aljbawi and Sami Simons and Visara Urovi",

year = "2024",

month = aug,

day = "11",

doi = "10.37349/edht.2024.00022",

language = "English",

volume = "2",

pages = "202–217",

journal = "Exploration of Digital Health Technologies",

issn = "2996-9409",

publisher = "Open Exploration Publishing, Inc.",

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T1 - Developing a multi-variate prediction model for COVID-19 from crowd-sourced respiratory voice data

AU - Yan, Yuyang

AU - Aljbawi, Wafaa

AU - Simons, Sami

AU - Urovi, Visara

PY - 2024/8/11

Y1 - 2024/8/11

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DO - 10.37349/edht.2024.00022

M3 - Article

SN - 2996-9409

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EP - 217

JO - Exploration of Digital Health Technologies

JF - Exploration of Digital Health Technologies

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