Predictive modeling of arginine vasopressin deficiency after transsphenoidal pituitary adenoma resection by using multiple machine learning algorithms
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
Predictive modeling of arginine vasopressin deficiency after transsphenoidal pituitary adenoma resection by using multiple machine learning algorithms ; volume:14 ; number:1 ; day:27 ; month:9 ; year:2024 ; pages:1-13 ; date:12.2024
Scientific reports ; 14, Heft 1 (27.9.2024), 1-13, 12.2024
- Urheber
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Chen, Yuyang
Zhong, Jiansheng
Li, Haixiang
Lin, Kunzhe
Wei, Liangfeng
Wang, Shousen
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-72486-w
- URN
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urn:nbn:de:101:1-2412132108122.079517264111
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:22 MESZ
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Beteiligte
- Chen, Yuyang
- Zhong, Jiansheng
- Li, Haixiang
- Lin, Kunzhe
- Wei, Liangfeng
- Wang, Shousen
- SpringerLink (Online service)
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