Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Development and validation of prognostic machine learning models for short- and long-term mortality among acutely admitted patients based on blood tests ; volume:14 ; number:1 ; day:11 ; month:3 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (11.3.2024), 1-11, 12.2024
- Urheber
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Jawad, Baker Nawfal
Shaker, Shakir Maytham
Altintas, Izzet
Eugen-Olsen, Jesper
Nehlin, Jan O.
Andersen, Ove
Kallemose, Thomas
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-56638-6
- URN
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urn:nbn:de:101:1-2405140759098.024563213505
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:58 MESZ
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Beteiligte
- Jawad, Baker Nawfal
- Shaker, Shakir Maytham
- Altintas, Izzet
- Eugen-Olsen, Jesper
- Nehlin, Jan O.
- Andersen, Ove
- Kallemose, Thomas
- SpringerLink (Online service)
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