Improving accuracy of estimating glomerular filtration rate using artificial neural network: model development and validation
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1479-5876
- Umfang
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Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Improving accuracy of estimating glomerular filtration rate using artificial neural network: model development and validation ; volume:18 ; number:1 ; day:10 ; month:3 ; year:2020 ; pages:1-8 ; date:12.2020
Journal of translational medicine ; 18, Heft 1 (10.3.2020), 1-8, 12.2020
- Urheber
-
Li, Ningshan
Huang, Hui
Qian, Han-Zhu
Liu, Peijia
Lu, Hui
Liu, Xun
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12967-020-02287-y
- URN
-
urn:nbn:de:101:1-2020052822082495529381
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
Datenpartner
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Beteiligte
- Li, Ningshan
- Huang, Hui
- Qian, Han-Zhu
- Liu, Peijia
- Lu, Hui
- Liu, Xun
- SpringerLink (Online service)
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