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Title:Prediction of COVID-19 severity using machine learning
Authors:ID Karaduzovic-Hadziabdic, Kanita (Author)
ID Adilovic, Muhamed (Author)
ID Zhang, Lu (Author)
ID Luštrek, Mitja, Institut Jožef Stefan (Author)
ID Jordan, Marko, Institut Jožef Stefan (Author)
ID Devaux, Yvan (Author)
Files:URL URL - Source URL, visit https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70042
 
.pdf PDF - Presentation file, download (1,91 MB)
MD5: 4E9E6F87C224D2A640FCF960149B997F
 
Language:English
Typology:1.03 - Other scientific articles
Organization:Logo IJS - Jožef Stefan Institute
Keywords:disease severity, predictive model
Publication status:Published
Publication version:Version of Record
Submitted for review:25.07.2024
Article acceptance date:18.09.2024
Publication date:06.10.2024
Publisher:Wiley
Year of publishing:2024
Number of pages:str. 1-8
Numbering:Vol. 14, iss. 10, [article] no. e70042
Source:ZDA
PID:20.500.12556/DiRROS-20521 New window
UDC:004.8
ISSN on article:2001-1326
DOI:10.1002/ctm2.70042 New window
COBISS.SI-ID:210464003 New window
Copyright:© 2024 The Author(s).
Note:Nasl. z nasl. zaslona; Soavtorja iz Slovenije: Mitja Luštrek, Marko Jordan; Opis vira z dne 7. 10. 2024;
Publication date in DiRROS:07.10.2024
Views:387
Downloads:425
Metadata:XML DC-XML DC-RDF
:
KARADUZOVIC-HADZIABDIC, Kanita, ADILOVIC, Muhamed, ZHANG, Lu, LUŠTREK, Mitja, JORDAN, Marko and DEVAUX, Yvan, 2024, Prediction of COVID-19 severity using machine learning. Clinical and translational medicine [online]. 2024. Vol. 14, no. 10,  e70042, p. 1–8. [Accessed 26 March 2025]. DOI 10.1002/ctm2.70042. Retrieved from: https://dirros.openscience.si/IzpisGradiva.php?lang=eng&id=20521
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Record is a part of a journal

Title:Clinical and translational medicine
Shortened title:Clin. trans. med.
Publisher:Springer
ISSN:2001-1326
COBISS.SI-ID:520440345 New window

Document is financed by a project

Funder:EC - European Commission
Funding programme:H2020
Project number:101016072
Name:A diagnostic test to improve surveillance and care of COVID-19 patients
Acronym:COVIRNA
Funder:Other - Other funder or multiple funders
Funding programme:Predi-COVID
Project number:14716273
Funder:EC - European Commission
Funding programme:H2020
Project number:101016072
Name:A diagnostic test to improve surveillance and care of COVID-19 patients
Acronym:COVIRNA
Funder:Other - Other funder or multiple funders
Project number:C14/BM/8225223
Funder:Other - Other funder or multiple funders
Project number:C17/BM/11613033
Funder:Other - Other funder or multiple funders
Project number:COVID-19/2020-1/14719577/miRCOVID

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:06.10.2024
Applies to:VoR

Secondary language

Language:Slovenian
Keywords:teža bolezni, napovedni model


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