Derivation and validation of the first web-based nomogram to predict the spontaneous pregnancy after reproductive surgery using machine learning models.

Journal: Frontiers in endocrinology
PMID: 39015183

Abstract

OBJECTIVE: Infertility remains a significant global burden over the years. Reproductive surgery is an effective strategy for infertile women. Early prediction of spontaneous pregnancy after reproductive surgery is of high interest for the patients seeking the infertility treatment. However, there are no high-quality models and clinical applicable tools to predict the probability of natural conception after reproductive surgery.

Authors

  • Zhenteng Liu
    Shandong Luoxin Pharmaceutical Group Stock Co. Ltd, Linyi, Shandong, China.
  • Meimei Wang
    Department of Reproductive Medicine, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China.
  • Shunzhi He
    Department of Reproductive Medicine, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China.
  • Xinrong Wang
    Department of Reproductive Medicine, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China.
  • Xuemei Liu
    State Key Laboratory of Pollution Control and Resources Reuse, School of the Environment, Nanjing University, Nanjing, 210023, China.
  • Xiaoshi Xie
    Department of Reproductive Medicine, Linyi People's Hospital, Linyi, Shandong, China.
  • Hongchu Bao
    Department of Reproductive Medicine, Yantai Yuhuangding Hospital Affiliated to Qingdao University, Yantai, Shandong, China.

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