Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers
- 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
-
Predicting sepsis in-hospital mortality with machine learning: a multi-center study using clinical and inflammatory biomarkers ; volume:29 ; number:1 ; day:6 ; month:3 ; year:2024 ; pages:1-15 ; date:12.2024
European journal of medical research ; 29, Heft 1 (6.3.2024), 1-15, 12.2024
- Urheber
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Zhang, Guyu
Shao, Fei
Yuan, Wei
Wu, Junyuan
Qi, Xuan
Gao, Jie
Shao, Rui
Tang, Ziren
Wang, Tao
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40001-024-01756-0
- URN
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urn:nbn:de:101:1-2405100917444.806731879542
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:45 MESZ
Datenpartner
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Beteiligte
- Zhang, Guyu
- Shao, Fei
- Yuan, Wei
- Wu, Junyuan
- Qi, Xuan
- Gao, Jie
- Shao, Rui
- Tang, Ziren
- Wang, Tao
- SpringerLink (Online service)
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