Machine learning based model for the early detection of Gestational Diabetes Mellitus
We believe our findings will complement the current clinical practice of GDM diagnosis at an early stage of pregnancy, leading toward minimizing its burden on the healthcare system.Source code is available in GitHub at: https://github.com/H-Zaky/GD.git.
Authors
- Eleni Fthenou (ORCID: https://orcid.org/0000-0002-1178-6841)
- Nady El Hajj (ORCID: https://orcid.org/0000-0003-3420-8531)
- Mohammed Bashir (ORCID: https://orcid.org/0000-0003-3096-2641)
- Tanvir Alam (ORCID: https://orcid.org/0000-0001-7033-3693)
- Thomas J. Farrell (ORCID: https://orcid.org/0000-0001-7775-2866)
- Luma Srour (ORCID: https://orcid.org/0000-0002-5585-4455)
- Hesham Zaky (ORCID: https://orcid.org/0009-0004-1173-6125)
Institutions
- Hamad bin Khalifa University (QA)
- Hamad Medical Corporation (QA)
- Qatar Foundation (QA)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1186/s12911-025-02947-3
- Citations
- 15
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 30.86
Funders
- Hamad Bin Khalifa University