Early prediction of hemodynamic interventions in the intensive care unit using machine learning
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1364-8535
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Early prediction of hemodynamic interventions in the intensive care unit using machine learning ; volume:25 ; number:1 ; day:14 ; month:11 ; year:2021 ; pages:1-9 ; date:12.2021
Critical care ; 25, Heft 1 (14.11.2021), 1-9, 12.2021
- Creator
-
Rahman, Asif
Chang, Yale
Dong, Junzi
Conroy, Bryan
Natarajan, Annamalai
Kinoshita, Takahiro
Vicario, Francesco
Frassica, Joseph
Xu-Wilson, Minnan
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13054-021-03808-x
- URN
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urn:nbn:de:101:1-2022012518325223358737
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:24 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Rahman, Asif
- Chang, Yale
- Dong, Junzi
- Conroy, Bryan
- Natarajan, Annamalai
- Kinoshita, Takahiro
- Vicario, Francesco
- Frassica, Joseph
- Xu-Wilson, Minnan
- SpringerLink (Online service)
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A clinical prediction model to identify patients at high risk of hemodynamic instability in the pediatric intensive care unit
Interventions to improve appropriateness of laboratory testing in the intensive care unit: a narrative review
Understanding hand hygiene behaviour in the intensive care unit to inform interventions: an interview study
External validation of a machine learning model to predict hemodynamic instability in intensive care unit
Early prediction of MODS interventions in the intensive care unit using machine learning
Hemodynamic monitoring using transpulmonary thermodilution and radial artery applanation tonometry in medical intensive care unit patients
Palliative care interventions in intensive care unit patients – a systematic review protocol
Hemodynamic consequences of respiratory interventions in preterm infants
Physical rehabilitation interventions in the intensive care unit: a scoping review of 117 studies
Bereavement interventions to support informal caregivers in the intensive care unit: a systematic review
Humanizing the intensive care unit
The resilient intensive care unit
A clinical prediction model to identify patients at high risk of hemodynamic instability in the pediatric intensive care unit
Interventions to improve appropriateness of laboratory testing in the intensive care unit: a narrative review