Preovulatory progesterone levels are the top indicator for ovulation prediction based on machine learning model evaluation: a retrospective study
Abstract Background Accurately predicting ovulation timing is critical for women undergoing natural cycle-frozen embryo transfer. However, the precise predicting of the ovulation timing remains challenging due to the lack of consensus among different clinics regarding the definition of this signific...
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Main Authors: | Yumei Li (Author), Hong Zeng (Author), Jing Fu (Author) |
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Format: | Book |
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BMC,
2024-08-01T00:00:00Z.
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Online Access: | Connect to this object online. |
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