Interpretable machine learning model for predicting acute kidney injury in critically ill patients
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Interpretable machine learning model for predicting acute kidney injury in critically ill patients ; volume:24 ; number:1 ; day:31 ; month:5 ; year:2024 ; pages:1-12 ; date:12.2024
BMC medical informatics and decision making ; 24, Heft 1 (31.5.2024), 1-12, 12.2024
- Creator
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Li, Xunliang
Wang, Peng
Zhu, Yuke
Zhao, Wenman
Pan, Haifeng
Wang, Deguang
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1186/s12911-024-02537-9
- URN
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urn:nbn:de:101:1-2408082106546.967932751161
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:48 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
- Li, Xunliang
- Wang, Peng
- Zhu, Yuke
- Zhao, Wenman
- Pan, Haifeng
- Wang, Deguang
- SpringerLink (Online service)
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