Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study
2024 · Journal of Ovarian Research · 4 citations
https://doi.org/10.1186/s13048-024-01495-0
H
Hong Zeng
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Hong Zeng is an academic researcher from Central South University. The author has contributed to research in topics: Ovarian function and disorders & Reproductive System and Pregnancy & Assisted Reproductive Technology and Twin Pregnancy. The author has an h-index of 1, co-authored 5 publications.
Papers by this author
worksEffect of hCG day’s estradiol levels on pregnancy outcomes following GnRH antagonist protocol: a retrospective study of 3192 fresh embryo transfer cycles
2025 · BMC Pregnancy and Childbirth · 0 citations
https://doi.org/10.1186/s12884-025-07929-x
Inflammatory proteomics of uterine fluid is potentially a non-invasive predictor for endometrial receptivity: a pilot study
2025 · Journal of Assisted Reproduction and Genetics · 0 citations
https://doi.org/10.1007/s10815-025-03728-7
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