Title: | Prediction of COVID-19 severity using machine learning |
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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 - Source URL, visit https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70042
PDF - Presentation file, download (1,91 MB) MD5: 4E9E6F87C224D2A640FCF960149B997F
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Language: | English |
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Typology: | 1.03 - Other scientific articles |
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Organization: | IJS - Jožef Stefan Institute
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Keywords: | disease severity, predictive model |
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Publication status: | Published |
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Publication version: | Version of Record |
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Submitted for review: | 25.07.2024 |
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Article acceptance date: | 18.09.2024 |
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Publication date: | 06.10.2024 |
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Publisher: | Wiley |
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Year of publishing: | 2024 |
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Number of pages: | str. 1-8 |
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Numbering: | Vol. 14, iss. 10, [article] no. e70042 |
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Source: | ZDA |
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PID: | 20.500.12556/DiRROS-20521 |
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UDC: | 004.8 |
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ISSN on article: | 2001-1326 |
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DOI: | 10.1002/ctm2.70042 |
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COBISS.SI-ID: | 210464003 |
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Copyright: | © 2024 The Author(s). |
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Note: | Nasl. z nasl. zaslona;
Soavtorja iz Slovenije: Mitja Luštrek, Marko Jordan;
Opis vira z dne 7. 10. 2024;
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Publication date in DiRROS: | 07.10.2024 |
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Views: | 174 |
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Downloads: | 328 |
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