Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2041-1723
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
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Cross-site transportability of an explainable artificial intelligence model for acute kidney injury prediction ; volume:11 ; number:1 ; day:9 ; month:11 ; year:2020 ; pages:1-12 ; date:12.2020
Nature Communications ; 11, Heft 1 (9.11.2020), 1-12, 12.2020
- Urheber
-
Song, Xing
Yu, Alan S. L.
Kellum, John A.
Waitman, Lemuel R.
Matheny, Michael E.
Simpson, Steven Q.
Hu, Yong
Liu, Mei
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41467-020-19551-w
- URN
-
urn:nbn:de:101:1-2020121619480026378462
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:25 MESZ
Datenpartner
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Beteiligte
- Song, Xing
- Yu, Alan S. L.
- Kellum, John A.
- Waitman, Lemuel R.
- Matheny, Michael E.
- Simpson, Steven Q.
- Hu, Yong
- Liu, Mei
- SpringerLink (Online service)
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