Enhancing gestational diabetes mellitus risk assessment and treatment through GDMPredictor: a machine learning approach.

Journal: Journal of endocrinological investigation
Published Date: Mar 9, 2024

Abstract

BACKGROUND: Gestational diabetes mellitus (GDM) is a serious health concern that affects pregnant women worldwide and can lead to adverse pregnancy outcomes. Early detection of high-risk individuals and the implementation of appropriate treatment can enhance these outcomes.

Authors

  • J Xing
    Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
  • K Dong
    Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China.
  • X Liu
    Pediatric Medicine, the Affiliated Hospital of Chengde Medical University, Chengde, China.
  • J Ma
    Department of Artificial Intelligence, Fraunhofer Heinrich Hertz Institute, Berlin, Germany.
  • E Yuan
    Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China. yuanenwu@126.com.
  • L Zhang
    Department of Radiology, Baoji Center Hospital, Baoji, 721008, Shaanxi, China; Department of Radiology, Baoji Hi-Tech People's Hospital, Baoji, 721013, Shaanxi, China.
  • Y Fang
    Department of Laboratory Medicine, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Qian Street, Zhengzhou, 450052, Henan, People's Republic of China. yangfangscu@gmail.com.

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