Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance
- 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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Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance ; volume:13 ; number:1 ; day:10 ; month:9 ; year:2023 ; pages:1-13 ; date:12.2023
Scientific reports ; 13, Heft 1 (10.9.2023), 1-13, 12.2023
- Urheber
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Tuerxun, Kedeye
Eklund, Daniel
Wallgren, Ulrika
Dannenberg, Katharina
Repsilber, Dirk
Kruse, Robert
Särndahl, Eva
Kurland, Lisa
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-42081-6
- URN
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urn:nbn:de:101:1-2024020808461044276821
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:39 MESZ
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Beteiligte
- Tuerxun, Kedeye
- Eklund, Daniel
- Wallgren, Ulrika
- Dannenberg, Katharina
- Repsilber, Dirk
- Kruse, Robert
- Särndahl, Eva
- Kurland, Lisa
- SpringerLink (Online service)
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