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Data-driven subphenotyping of severe ARDS patients requiring VV-ECMO

; ; ; ; ; ;

In
Frontiers in digital health 8, Seiten/Artikel-Nr.:1736849

ImpressumLausanne : Frontiers Media

Umfang1-13

ISSN2673-253X

Online
DOI: 10.3389/fdgth.2026.1736849

DOI: 10.18154/RWTH-2026-07094
URL: https://publications.rwth-aachen.de/record/1039297/files/1039297.pdf

Einrichtungen

  1. Institut und Lehrstuhl für Computational Biomedicine (925310)
  2. Center for Computational Life Science (080079)

Projekte

  1. OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)

Thematische Einordnung (Klassifikation)
DDC: 610

OpenAccess:
Download fulltext PDF

Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:001822184500001
SCOPUS: SCOPUS:2-s2.0-105046800525

Interne Identnummern
RWTH-2026-07094
Datensatz-ID: 1039297

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; DOAJ Seal ; Emerging Sources Citation Index ; Fees ; PubMed Central ; SCOPUS ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Publication server / Open Access
Faculty of Medicine (Fac.10)
Central and Other Institutions
Public records
530000\-4
Publication Charges
Publications database
080079
TypAmountVATCurrencyShareStatusCost centre
APC2467.11468.75EUR100.00 %(Zahlung erfolgt)021000-925310
Sum2467.11468.75EUR   
Total2935.86     
 Record created 2026-07-27, last modified 2026-09-01
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