Niu CC

No ORCID on file · 1 paper in corpus

observational 2024

The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation

Reproductive biology and endocrinology : RB&E ·doi:10.1186/s12958-024-01251-5

OBJECTIVE: To explore the optimal models for predicting the formation of high-quality embryos in Poor Ovarian Response (POR) Patients with Progestin-Primed Ovarian Stimulation (PPOS) using machine learning algorithms. METHODS: A retrospect…