Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning

Detalhes bibliográficos
Principais autores: Seyedmostafa Sheikhalishahi, Mathias Kaspar, Sarra Zaghdoudi, Julia Sander, Philipp Simon, Benjamin P. Geisler, Dorothea Lange, Ludwig Christian Hinske
Formato: Artigo
Idioma:English
Publicado em: Public Library of Science (PLoS) 2024-03-01
coleção:PLOS Digital Health
Acesso em linha:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10971612/?tool=EBI
_version_ 1827300478887657472
author Seyedmostafa Sheikhalishahi
Mathias Kaspar
Sarra Zaghdoudi
Julia Sander
Philipp Simon
Benjamin P. Geisler
Dorothea Lange
Ludwig Christian Hinske
author_facet Seyedmostafa Sheikhalishahi
Mathias Kaspar
Sarra Zaghdoudi
Julia Sander
Philipp Simon
Benjamin P. Geisler
Dorothea Lange
Ludwig Christian Hinske
author_sort Seyedmostafa Sheikhalishahi
collection DOAJ
first_indexed 2024-04-24T16:05:32Z
format Article
id doaj.art-aec0cfff72a947ee83d963ca3471f121
institution Directory Open Access Journal
issn 2767-3170
language English
last_indexed 2024-04-24T16:05:32Z
publishDate 2024-03-01
publisher Public Library of Science (PLoS)
record_format Article
series PLOS Digital Health
spelling doaj.art-aec0cfff72a947ee83d963ca3471f1212024-04-01T05:37:56ZengPublic Library of Science (PLoS)PLOS Digital Health2767-31702024-03-0133Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine LearningSeyedmostafa SheikhalishahiMathias KasparSarra ZaghdoudiJulia SanderPhilipp SimonBenjamin P. GeislerDorothea LangeLudwig Christian Hinskehttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10971612/?tool=EBI
spellingShingle Seyedmostafa Sheikhalishahi
Mathias Kaspar
Sarra Zaghdoudi
Julia Sander
Philipp Simon
Benjamin P. Geisler
Dorothea Lange
Ludwig Christian Hinske
Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
PLOS Digital Health
title Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
title_full Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
title_fullStr Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
title_full_unstemmed Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
title_short Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
title_sort predicting successful weaning from mechanical ventilation by reduction in positive end expiratory pressure level using machine learning
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10971612/?tool=EBI
work_keys_str_mv AT seyedmostafasheikhalishahi predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT mathiaskaspar predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT sarrazaghdoudi predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT juliasander predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT philippsimon predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT benjaminpgeisler predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT dorothealange predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning
AT ludwigchristianhinske predictingsuccessfulweaningfrommechanicalventilationbyreductioninpositiveendexpiratorypressurelevelusingmachinelearning