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@ARTICLE{Fritsch:1014313,
author = {Fritsch, Sebastian and Ruchalla, Elke},
title = {{S}epsis: {P}raktikabler {M}aßnahmenkatalog mithilfe
künstlicher {I}ntelligenz},
journal = {Journal Club AINS},
volume = {12},
number = {02},
issn = {2194-9719},
address = {Stuttgart},
publisher = {Thieme},
reportid = {FZJ-2023-03235},
pages = {86 - 88},
year = {2023},
comment = {Kalimouttou A et al. Machine-learning-derived sepsis bundle
of care. Intensive Care Med 2023; 49: 26–36},
booktitle = {Kalimouttou A et al.
Machine-learning-derived sepsis bundle
of care. Intensive Care Med 2023; 49:
26–36},
cin = {JSC},
ddc = {610},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / SDI-S - SDI-S: Smart Data
Innovation Services - Experimentelle Erprobung und
Entwicklung von KI-Dienstverbünden für Innovationen auf
industriellen Daten (01IS22095D)},
pid = {G:(DE-HGF)POF4-5112 / G:(BMBF)01IS22095D},
typ = {PUB:(DE-HGF)36 / PUB:(DE-HGF)3 / PUB:(DE-HGF)16},
doi = {10.1055/a-2025-8506},
url = {https://juser.fz-juelich.de/record/1014313},
}