Building a machine learning-based risk prediction model for second-trimester miscarriage.

Journal: BMC pregnancy and childbirth
Published Date: Nov 9, 2024

Abstract

BACKGROUND: Second-trimester miscarriage is a common adverse pregnancy outcome that imposes substantial economic and psychological pressures on both the physical and mental well-being of patients and their families. Currently, there is a scarcity of research on predictive models for the risk of second-trimester miscarriage.

Authors

  • Sangsang Qi
    Department of Obstetrics and Gynecology, Women and Children's Hospital of Ningbo University, No. 339 Liuting Street, Haishu District, Ningbo, 315012, Zhejiang, China.
  • Shi Zheng
    Department of Obstetrics and Gynecology, Women and Children's Hospital of Ningbo University, No. 339 Liuting Street, Haishu District, Ningbo, 315012, Zhejiang, China.
  • Mengdan Lu
    Department of Obstetrics and Gynecology, Women and Children's Hospital of Ningbo University, No. 339 Liuting Street, Haishu District, Ningbo, 315012, Zhejiang, China.
  • Aner Chen
    Department of Obstetrics and Gynecology, Women and Children's Hospital of Ningbo University, No. 339 Liuting Street, Haishu District, Ningbo, 315012, Zhejiang, China.
  • Yanbo Chen
    Department of Research and Development, Shanghai United Imaging Intelligence Co., Ltd., Shanghai, China.
  • Xianhu Fu
    Department of Obstetrics and Gynecology, Women and Children's Hospital of Ningbo University, No. 339 Liuting Street, Haishu District, Ningbo, 315012, Zhejiang, China. fuxianhu2005@sina.com.

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