Machine learning prediction of pregnancy outcomes after vitrified-warmed bovine embryo transfer using field-derived variables
- DOI
- 10.1016/j.theriogenology.2026.118189
- Published
- 2027-01
- Container
- Theriogenology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.theriogenology.2026.118189,
title = {Machine learning prediction of pregnancy outcomes after vitrified-warmed bovine embryo transfer using field-derived variables},
author = {Tae-Gyun Kim and Sung-Ho Kim and Sang-Yup Lee and Saet-Byul Kim and Beom-Jun Han and Yong-Ho Choe and Sung-Lim Lee and Seung-Joon Kim and Won-Jae Lee},
year = {2027},
journal = {Theriogenology},
doi = {10.1016/j.theriogenology.2026.118189},
url = {https://doi.org/10.1016/j.theriogenology.2026.118189}
}RIS
TY - JOUR TI - Machine learning prediction of pregnancy outcomes after vitrified-warmed bovine embryo transfer using field-derived variables AU - Tae-Gyun Kim AU - Sung-Ho Kim AU - Sang-Yup Lee AU - Saet-Byul Kim AU - Beom-Jun Han AU - Yong-Ho Choe AU - Sung-Lim Lee AU - Seung-Joon Kim AU - Won-Jae Lee PY - 2027 JO - Theriogenology DO - 10.1016/j.theriogenology.2026.118189 UR - https://doi.org/10.1016/j.theriogenology.2026.118189 ER -
APA
Kim, T., Kim, S., Lee, S., Kim, S., Han, B., Choe, Y., Lee, S., Kim, S., & Lee, W. (2027). Machine learning prediction of pregnancy outcomes after vitrified-warmed bovine embryo transfer using field-derived variables. Theriogenology. https://doi.org/10.1016/j.theriogenology.2026.118189
Source records
- crossref · retrieved 2026-09-26T06:16:31.824Z