Individualized embryo selection strategy developed by stacking machine learning model for better in vitro fertilization outcomes: an application study

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1477-7827
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Creator
Xi, Qingsong
Yang, Qiyu
Wang, Meng
Huang, Bo
Zhang, Bo
Li, Zhou
Liu, Shuai
Yang, Liu
Zhu, Lixia
Jin, Lei
Contributor
SpringerLink (Online service)

DOI
10.1186/s12958-021-00734-z
URN
urn:nbn:de:101:1-2021052720443482066176
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 11:03 AM CEST

Data provider

This object is provided by:
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Associated

  • 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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