Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Uplift modeling to predict individual treatment effects of renal replacement therapy in sepsis-associated acute kidney injury patients ; volume:14 ; number:1 ; day:10 ; month:3 ; year:2024 ; pages:1-11 ; date:12.2024
Scientific reports ; 14, Heft 1 (10.3.2024), 1-11, 12.2024
- Creator
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Li, Guanggang
Li, Bo
Song, Bin
Liu, Dandan
Sun, Yue
Ju, Hongyan
Xu, Xiuping
Mao, Jingkun
Zhou, Feihu
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-55653-x
- URN
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urn:nbn:de:101:1-2405122110323.148840346532
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:44 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Li, Guanggang
- Li, Bo
- Song, Bin
- Liu, Dandan
- Sun, Yue
- Ju, Hongyan
- Xu, Xiuping
- Mao, Jingkun
- Zhou, Feihu
- SpringerLink (Online service)
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