Machine learning based model for the early detection of Gestational Diabetes Mellitus.

Journal: BMC medical informatics and decision making
PMID: 40082942

Abstract

BACKGROUND: Gestational Diabetes Mellitus (GDM) is one of the most common medical complications during pregnancy. In the Gulf region, the prevalence of GDM is higher than in other parts of the world. Thus, there is a need for the early detection of GDM to avoid critical health conditions in newborns and post-pregnancy complexities of mothers.

Authors

  • Hesham Zaky
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.
  • Eleni Fthenou
    Qatar Foundation for Education, Science, and Community, Qatar Biobank for Medical, ResearchDoha, Qatar.
  • Luma Srour
    College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar.
  • Thomas Farrell
    Endocrine Section, Department of Medicine, Hamad Medical Corporation, Doha, Qatar.
  • Mohammed Bashir
    Qatar Metabolic Institute, Qatar.
  • Nady El Hajj
    College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, 34110, Doha, Qatar.
  • Tanvir Alam
    College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar.

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