Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer
- 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
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Development and validation of machine learning models and nomograms for predicting the surgical difficulty of laparoscopic resection in rectal cancer ; volume:22 ; number:1 ; day:25 ; month:4 ; year:2024 ; pages:1-11 ; date:12.2024
World journal of surgical oncology ; 22, Heft 1 (25.4.2024), 1-11, 12.2024
- Urheber
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Li, Xiangyong
Zhou, Zeyang
Zhu, Bing
Wu, Yong
Xing, Chungen
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12957-024-03389-3
- URN
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urn:nbn:de:101:1-2407111614289.750776942794
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:55 MESZ
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Beteiligte
- Li, Xiangyong
- Zhou, Zeyang
- Zhu, Bing
- Wu, Yong
- Xing, Chungen
- SpringerLink (Online service)
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