Optimizing predictive features using machine learning for early miscarriage risk following single vitrified-warmed blastocyst transfer.

Journal: Frontiers in endocrinology
PMID: 40309447

Abstract

RESEARCH QUESTION: Can machine learning models accurately predict the risk of early miscarriage following single vitrified-warmed blastocyst transfer (SVBT)?

Authors

  • Lidan Liu
    Guangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Bo Liu
    Wuhan United Imaging Healthcare Surgical Technology Co., Ltd., Wuhan, China.
  • Huimei Wu
    Guangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Qiuying Gan
    Reproductive Center, Nanning Maternity and Child Health Hospital, Nanning, Guangxi, China.
  • Qianyi Huang
    Guangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
  • Mujun Li
    Guangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.

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