Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study

Preovulatory serum P4 levels are better predictors of ovulation timing than LH levels and could be used as an alternative in clinical settings, and the model we developed can be used to pinpoint the day of ovulation. Ongoing research and advancements in technology are anticipated to enhance and refine the ovulation method.

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Publication Details

Journal
Journal of Ovarian Research
Published
2024-08-21
DOI
https://doi.org/10.1186/s13048-024-01495-0
Citations
4
Primary Topic
Reproductive Biology and Fertility
Type
article
Field-Weighted Citation Impact
2.17
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article

Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study

Yumei Li, Jing Fu, Hong Zeng
4 citations
Journal of Ovarian Research
Reproductive Biology and Fertility
2.17
article

Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study

Yumei Li, Jing Fu, Hong Zeng
article en
4 citations

Abstract

Preovulatory serum P4 levels are better predictors of ovulation timing than LH levels and could be used as an alternative in clinical settings, and the model we developed can be used to pinpoint the day of ovulation. Ongoing research and advancements in technology are anticipated to enhance and refine the ovulation method.

Journal of Ovarian ResearchVol. 17(1)
Central South University (CN), Xiangya Hospital Central South University (CN)
Zero hunger
Openalex Percentile: Top 12%
Reproductive Biology and Fertility
2.17
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