Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
1 Online-Ressource.
Language
Englisch

Bibliographic citation
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

Creator
Tuerxun, Kedeye
Eklund, Daniel
Wallgren, Ulrika
Dannenberg, Katharina
Repsilber, Dirk
Kruse, Robert
Särndahl, Eva
Kurland, Lisa
Contributor
SpringerLink (Online service)

DOI
10.1038/s41598-023-42081-6
URN
urn:nbn:de:101:1-2024020808461044276821
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:39 AM CEST

Data provider

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Associated

  • Tuerxun, Kedeye
  • Eklund, Daniel
  • Wallgren, Ulrika
  • Dannenberg, Katharina
  • Repsilber, Dirk
  • Kruse, Robert
  • Särndahl, Eva
  • Kurland, Lisa
  • SpringerLink (Online service)

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