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An external validation of the QCovid risk prediction algorithm for risk of mortality from COVID-19 in adults: a national validation cohort study in England
The Lancet Digital Health, Volume: 3, Issue: 7, Pages: e425 - e433
Swansea University Author:
Ronan Lyons
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DOI (Published version): 10.1016/s2589-7500(21)00080-7
Abstract
Public policy measures and clinical risk assessments relevant to COVID-19 need to be aided by risk prediction models that are rigorously developed and validated. We aimed to externally validate a risk prediction algorithm (QCovid) to estimate mortality outcomes from COVID-19 in adults in England.
Published in: | The Lancet Digital Health |
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ISSN: | 2589-7500 |
Published: |
Elsevier BV
2021
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa56397 |
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Abstract: |
Public policy measures and clinical risk assessments relevant to COVID-19 need to be aided by risk prediction models that are rigorously developed and validated. We aimed to externally validate a risk prediction algorithm (QCovid) to estimate mortality outcomes from COVID-19 in adults in England. |
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College: |
Faculty of Medicine, Health and Life Sciences |
Funders: |
Funding: UK National Institute for Health Research. |
Issue: |
7 |
Start Page: |
e425 |
End Page: |
e433 |