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Development of a machine learning-based prediction model for clinical pregnancy of intrauterine insemination in a large Chinese population.

Jialin WuTingting LiLinan XuLina ChenXiaoyan LiangAihua LinWangjian ZhangRui Huang
Published in: Journal of assisted reproduction and genetics (2024)
The machine learning-based IUI clinical pregnancy prediction model showed a promising predictive efficacy that could provide a potent tool to guide selecting targeted infertile couples beneficial from IUI treatment, and also identify which parameters are most relevant in IUI clinical pregnancy.
Keyphrases
  • machine learning
  • preterm birth
  • pregnancy outcomes
  • artificial intelligence
  • type diabetes
  • pregnant women
  • deep learning