Causal insights into gestational diabetes mellitus
This study applied structure learning techniques to observational clinical data to identify clinically relevant relationships. The resulting insights provide a basis for generating hypotheses that could refine intervention strategies and improve patient outcomes in GDM care.
Authors
- Oratile Kgosidialwa (ORCID: https://orcid.org/0000-0002-4249-6302)
- Fiona O’Halloran (ORCID: https://orcid.org/0000-0002-9937-375X)
- Mashael Alhajri (ORCID: https://orcid.org/0000-0002-9325-0281)
- Mohammed Hasanuzzaman (ORCID: https://orcid.org/0000-0003-1838-0091)
- Sheresh Zahoor (ORCID: https://orcid.org/0009-0007-7372-1000)
- Linda Culliney
- Anthony C. Constantinou (ORCID: https://orcid.org/0000-0001-7147-6821)
- Mairead O’Riordan (ORCID: https://orcid.org/0000-0001-7134-5469)
- Louise O’Mahony
Institutions
- Queen's University Belfast (GB)
- Queen Mary University of London (GB)
- Cork University Hospital (IE)
- Munster Technological University (IE)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-09-19
- DOI
- https://doi.org/10.3389/fendo.2025.1627919
- Citations
- 1
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.06
Funders
- European Commission