Crossmark

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

Crossref DOI link: https://doi.org/10.1186/s12958-021-00734-z

Published Online: 2021-04-05

Published Print: 2021-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xi, Qingsong

Yang, Qiyu

Wang, Meng

Huang, Bo

Zhang, Bo

Li, Zhou

Liu, Shuai

Yang, Liu

Zhu, Lixia

Jin, Lei https://orcid.org/0000-0003-0367-7765
Funding

Funding for this research was provided by:

National Key Research and Development Project (2018YFC1002103)

Health Commission of Hubei Province Scientific Research Project (WJ2021M110)

Chinese Medical Association (16020520668)

Natural Science Foundation of Hubei Province (2017CFB752)
License Information

Text and Data Mining valid from 2021-04-05

Version of Record valid from 2021-04-05
More Information

Article History

Received: 1 January 2021

Accepted: 23 March 2021

First Online: 5 April 2021

Declarations

:

: The study was approved by the medical ethics committee of Tongji Medical College of Huazhong University of Science and Technology and written informed consent was obtained from all patients before they were included. All methods were performed in accordance with the relevant guidelines and regulations.

: Not applicable.

: The authors declare that they have no competing interests.

Document is current

Any future updates will be listed below