Early Prediction of Gestational Diabetes Mellitus in the Chinese Population via Advanced Machine Learning.

Journal: The Journal of clinical endocrinology and metabolism
Published Date: Mar 8, 2021

Abstract

CONTEXT: Accurate methods for early gestational diabetes mellitus (GDM) (during the first trimester of pregnancy) prediction in Chinese and other populations are lacking.

Authors

  • Yan-Ting Wu
    International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Chen-Jie Zhang
    International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Ben Willem Mol
    Department of Obstetrics and Gynecology, Monash University, Clayton, Australia.
  • Andrew Kawai
    Department of Obstetrics and Gynecology, Monash University, Clayton, Australia.
  • Cheng Li
    College of Food and Bioengineering, Henan University of Science and Technology, Luoyang, China.
  • Lei Chen
    Department of Chemistry, Stony Brook University Stony Brook NY USA.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Jian-Zhong Sheng
    Department of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Zhejiang, China.
  • Jian-Xia Fan
    International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
  • Yi Shi
    College of Food Science and Engineering, Nanjing University of Finance and Economics/Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing 210023, People's Republic of China.
  • He-Feng Huang
    International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals