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)

Robotics & Machine Learning Daily News2024，Issue(Jul.24) ：42-43.

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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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Abstract

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.”

Key words

Sichuan/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Gynecology/Health and Medicine/Machine Lear ning/Women’s Health

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

段落导航