首页|Reproductive Center Reports Findings in Machine Learning (The construction of ma chine learning-based predictive models for highquality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation)
Reproductive Center Reports Findings in Machine Learning (The construction of ma chine learning-based predictive models for highquality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting originating from Sichuan, Peo ple’s Republic of China, by NewsRx correspondents, research stated,“To explore the optimal models for predicting the formation of high-quality embryos in Poor OvarianResponse (POR) Patients with Progestin-Primed Ovarian Stimulation (PPOS) using machine learningalgorithms. A retrospective analysis was conducted on th e clinical data of 4,216 POR cycles who underwentin vitro fertilization (IVF) / intracytoplasmic sperm injection (ICSI) at Sichuan Jinxin Xinan Women andChild ren’s Hospital from January 2015 to December 2021.”
SichuanPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesGynecologyHealth and MedicineMachine Lear ningWomen’s Health
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