Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1477-7827
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study ; volume:19 ; number:1 ; day:5 ; month:4 ; year:2021 ; pages:1-10 ; date:12.2021
Reproductive biology and endocrinology ; 19, Heft 1 (5.4.2021), 1-10, 12.2021
- Urheber
-
Xi, Qingsong
Yang, Qiyu
Wang, Meng
Huang, Bo
Zhang, Bo
Li, Zhou
Liu, Shuai
Yang, Liu
Zhu, Lixia
Jin, Lei
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12958-021-00734-z
- URN
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urn:nbn:de:101:1-2021052720443482066176
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:03 MESZ
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Beteiligte
- Xi, Qingsong
- Yang, Qiyu
- Wang, Meng
- Huang, Bo
- Zhang, Bo
- Li, Zhou
- Liu, Shuai
- Yang, Liu
- Zhu, Lixia
- Jin, Lei
- SpringerLink (Online service)
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