Interpretable machine learning prediction of live birth after freeze-all FET cycles across transfer-order subgroups.

Zhao Y, Wang H, Wang L, Yan L, Liu J, Teng M, Wang H, Liu T

DOI: 10.3389/fendo.2026.1868575
Published: 2026
Container: Frontiers in endocrinology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fendo.2026.1868575,
  title = {Interpretable machine learning prediction of live birth after freeze-all FET cycles across transfer-order subgroups.},
  author = {Zhao Y and Wang H and Wang L and Yan L and Liu J and Teng M and Wang H and Liu T},
  year = {2026},
  journal = {Frontiers in endocrinology},
  doi = {10.3389/fendo.2026.1868575},
  url = {https://doi.org/10.3389/fendo.2026.1868575}
}

RIS

TY  - JOUR
TI  - Interpretable machine learning prediction of live birth after freeze-all FET cycles across transfer-order subgroups.
AU  - Zhao Y
AU  - Wang H
AU  - Wang L
AU  - Yan L
AU  - Liu J
AU  - Teng M
AU  - Wang H
AU  - Liu T
PY  - 2026
JO  - Frontiers in endocrinology
DO  - 10.3389/fendo.2026.1868575
UR  - https://doi.org/10.3389/fendo.2026.1868575
ER  -

APA

Y, Z., H, W., L, W., L, Y., J, L., M, T., H, W., & T, L. (2026). Interpretable machine learning prediction of live birth after freeze-all FET cycles across transfer-order subgroups.. Frontiers in endocrinology. https://doi.org/10.3389/fendo.2026.1868575

Source records

pubmed · retrieved 2026-09-27T07:48:30.412Z