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

• Main Authors: Yu-Heng Xiao (Author), Yu-Lin Hu (Author), Xing-Yu Lv (Author), Li-Juan Huang (Author), Li-Hong Geng (Author), Pu Liao (Author), Yu-Bin Ding (Author), Chang-Chun Niu (Author)
• Format: Book
• Published: BMC, 2024-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract 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 retrospective analysis was conducted on the clinical data of 4,2...