Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve...
Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction
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Author / Creator
on behalf of the SepsisDataNet.NRW research group , SepsisDataNet.NRW research group , Palmowski, Lars , Nowak, Hartmuth , Witowski, Andrea , Koos, Björn , Wolf, Alexander , Weber, Maike , Kleefisch, Daniel , Unterberg, Matthias , Haberl, Helge , von Busch, Alexander , Ertmer, Christian , Zarbock, Alexander , Bode, Christian , Putensen, Christian , Limper, Ulrich , Wappler, Frank , Köhler, Thomas , Henzler, Dietrich , Oswald, Daniel , Ellger, Björn , Ehrentraut, Stefan F. , Bergmann, Lars , Rump, Katharina , Ziehe, Dominik , Babel, Nina , Sitek, Barbara , Marcus, Katrin , Frey, Ulrich H. , Thoral, Patrick J. , Adamzik, Michael , Eisenacher, Martin and Rahmel, Tim
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
An increasing amount of longitudinal health data is available on critically ill septic patients in the age of digital medicine, including daily sequential organ failure assessment (SOFA) score measurements. Thus, the assessment in sepsis focuses increasingly on the evaluation of the individual disease's trajectory. Machine learning (ML) algorithms...
Alternative Titles
Full title
Assessing SOFA score trajectories in sepsis using machine learning: A pragmatic approach to improve the accuracy of mortality prediction
Authors, Artists and Contributors
Author / Creator
SepsisDataNet.NRW research group
Palmowski, Lars
Nowak, Hartmuth
Witowski, Andrea
Koos, Björn
Wolf, Alexander
Weber, Maike
Kleefisch, Daniel
Unterberg, Matthias
Haberl, Helge
von Busch, Alexander
Ertmer, Christian
Zarbock, Alexander
Bode, Christian
Putensen, Christian
Limper, Ulrich
Wappler, Frank
Köhler, Thomas
Henzler, Dietrich
Oswald, Daniel
Ellger, Björn
Ehrentraut, Stefan F.
Bergmann, Lars
Rump, Katharina
Ziehe, Dominik
Babel, Nina
Sitek, Barbara
Marcus, Katrin
Frey, Ulrich H.
Thoral, Patrick J.
Adamzik, Michael
Eisenacher, Martin
Rahmel, Tim
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_32a6a63257a74944a3f560686b8b35c2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_32a6a63257a74944a3f560686b8b35c2
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0300739
