Construction and evaluation of machine learning-based prediction model for live birth following fresh embryo transfer in IVF/ICSI patients with polycystic ovary syndrome

Abstract Objective To investigate the determinants affecting live birth outcomes in fresh embryo transfer among polycystic ovary syndrome (PCOS) patients using various machine learning (ML) algorithms and to construct predictive models, offering novel insights for enhancing live birth rates in this...

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主要な著者:	Suqin Zhu, Zhiqing Huang, Xiaojing Chen, Wenwen Jiang, Yuan Zhou, Beihong Zheng, Yan Sun
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2025-04-01
シリーズ:	Journal of Ovarian Research
主題:	Fresh embryo transfer Live birth Machine learning Polycystic ovary syndrome
オンライン･アクセス:	https://doi.org/10.1186/s13048-025-01654-x
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