Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national Europea...
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
About this item
Full title
Author / Creator
Jimenez-Solem, Espen , Petersen, Tonny S. , Hansen, Casper , Hansen, Christian , Lioma, Christina , Igel, Christian , Boomsma, Wouter , Krause, Oswin , Lorenzen, Stephan , Selvan, Raghavendra , Petersen, Janne , Nyeland, Martin Erik , Ankarfeldt, Mikkel Zöllner , Virenfeldt, Gert Mehl , Winther-Jensen, Matilde , Linneberg, Allan , Ghazi, Mostafa Mehdipour , Detlefsen, Nicki , Lauritzen, Andreas David , Smith, Abraham George , de Bruijne, Marleen , Ibragimov, Bulat , Petersen, Jens , Lillholm, Martin , Middleton, Jon , Mogensen, Stine Hasling , Thorsen-Meyer, Hans-Christian , Perner, Anders , Helleberg, Marie , Kaas-Hansen, Benjamin Skov , Bonde, Mikkel , Bonde, Alexander , Pai, Akshay , Nielsen, Mads and Sillesen, Martin
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Patients with severe COVID-19 have overwhelmed healthcare systems worldwide. We hypothesized that machine learning (ML) models could be used to predict risks at different stages of management and thereby provide insights into drivers and prognostic markers of disease progression and death. From a cohort of approx. 2.6 million citizens in Denmark, S...
Alternative Titles
Full title
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Authors, Artists and Contributors
Author / Creator
Petersen, Tonny S.
Hansen, Casper
Hansen, Christian
Lioma, Christina
Igel, Christian
Boomsma, Wouter
Krause, Oswin
Lorenzen, Stephan
Selvan, Raghavendra
Petersen, Janne
Nyeland, Martin Erik
Ankarfeldt, Mikkel Zöllner
Virenfeldt, Gert Mehl
Winther-Jensen, Matilde
Linneberg, Allan
Ghazi, Mostafa Mehdipour
Detlefsen, Nicki
Lauritzen, Andreas David
Smith, Abraham George
de Bruijne, Marleen
Ibragimov, Bulat
Petersen, Jens
Lillholm, Martin
Middleton, Jon
Mogensen, Stine Hasling
Thorsen-Meyer, Hans-Christian
Perner, Anders
Helleberg, Marie
Kaas-Hansen, Benjamin Skov
Bonde, Mikkel
Bonde, Alexander
Pai, Akshay
Nielsen, Mads
Sillesen, Martin
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_aa3f45fd445f4117b36899935a16679d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_aa3f45fd445f4117b36899935a16679d
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-81844-x
