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topic_facet:"Intensive care unit"
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PubPharm (27)
1
Characteristics and outcomes of patients with acute myeloid leukemia admitted to intensive care unit with acute respiratory failure : a post-hoc analysis of a prospective multicenter study
enthalten in:
Annals of intensive care
| 2023
von
Secreto, C.
|
Chean, D.
|
van de Louw, A.
| +19
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2
Characteristics and outcomes of patients with acute myeloid leukemia admitted to intensive care unit with acute respiratory failure: a post-hoc analysis of a prospective multicenter study
enthalten in:
Annals of intensive care
| 2023
von
Secreto, C.
|
Chean, D.
|
van de Louw, A.
| +19
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3
Hospital Length of Stay and 30-Day Mortality Prediction in Stroke : A Machine Learning Analysis of 17,000 ICU Admissions in Brazil
enthalten in:
Neurocritical care
| 2022
von
Kurtz, P.
|
Peres, I.
|
Soares, M.
| +2
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4
Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil
enthalten in:
Neurocritical care
| 2022
von
Kurtz, P.
|
Peres, I.
|
Soares, M.
| +2
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5
Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil
enthalten in:
Neurocritical care
| 2022
von
Kurtz, P.
|
Peres, I.
|
Soares, M.
| +2
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6
Hospital Length of Stay and 30-Day Mortality Prediction in Stroke: A Machine Learning Analysis of 17,000 ICU Admissions in Brazil
enthalten in:
Neurocritical care
| 2022
von
Kurtz, P.
|
Peres, I.
|
Soares, M.
| +2
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7
ICU staffing feature phenotypes and their relationship with patients' outcomes : an unsupervised machine learning analysis
enthalten in:
Intensive care medicine
| 2019
von
Zampieri, F.
|
Salluh, J.
|
Azevedo, L.
| +20
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8
ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis
enthalten in:
Intensive care medicine
| 2019
von
Zampieri, F.
|
Salluh, J.
|
Azevedo, L.
| +19
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9
ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis
enthalten in:
Intensive care medicine
| 2019
von
Zampieri, F.
|
Salluh, J.
|
Azevedo, L.
| +19
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10
ICU staffing feature phenotypes and their relationship with patients’ outcomes: an unsupervised machine learning analysis
enthalten in:
Intensive care medicine
| 2019
von
Zampieri, F.
|
Salluh, J.
|
Azevedo, L.
| +19
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Thema: Intensive care unit
Medienart
27
Aufsätze
21
E-Artikel
21
E-Ressourcen
6
Gedruckte Aufsätze
Zeitschriftentitel
16
Intensive care medicine
5
Annals of intensive care
4
Neurocritical care
2
Journal of critical care
Thema
Intensive care unit
12
Outcomes
10
Mortality
8
Cancer
7
Prognosis
6
Cluster analysis
6
Journal Article
6
SAPS 3
4
ICU organization
4
Length of stay
4
Machine learning
4
Nurse autonomy
4
Prediction model
4
Staffing features
4
Stroke
3
Acute renal failure
3
Dialysis
3
Follow-up study
3
Multicenter study
3
Organizational factors
Alle anzeigen ...
weniger ...
Erscheinungszeitraum
6
2020-
15
2010-2019
6
2000-2009
Erscheinungsjahr(e)
Von:
Bis:
Sprache
27
Englisch
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