A novel machine learning model for predicting clinical pregnancy after laparoscopic tubal anastomosis.

Journal: BMC pregnancy and childbirth
PMID: 37488509

Abstract

BACKGROUND: Laparoscopic tubal anastomosis (LTA) is a treatment for women who require reproduction after ligation, and there are no reliable prediction models or clinically useful tools for predicting clinical pregnancy in women who receive this procedure. The prediction model we developed aims to predict the individual probability of clinical pregnancy in women after receiving LTA.

Authors

  • Nan Ding
    Reproductive Medicine Center, Lanzhou University Second Hospital, No.82, Cuiying Road, Chengguan District, Lanzhou City, Gansu Province, China.
  • Jian Zhang
    College of Pharmacy, Ningxia Medical University, Yinchuan, NingxiaHui Autonomous Region, China.
  • Peili Wang
    Reproductive Medicine Center, Lanzhou University Second Hospital, No.82, Cuiying Road, Chengguan District, Lanzhou City, Gansu Province, China.
  • Fang Wang
    Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China.

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