Exploring Relationships Between Maternal Characteristics, Continuous Glucose Monitoring Data, and Neonatal Hypoglycemia in Gestational Diabetes Pregnancies Using Probabilistic Modeling
Bayesian network allowed to explore the complex interactions between variables in pregnancies affected by GDM. This framework will be extended with wider data sets to provide valuable insights for clinical decision-making able to mitigate maternal and neonatal risks.
Authors
- Giacomo Cappon (ORCID: https://orcid.org/0000-0003-4358-9268)
- Erica Tavazzi (ORCID: https://orcid.org/0000-0001-6188-6413)
- Karen E Elkind-Hirsch (ORCID: https://orcid.org/0000-0003-3577-4009)
- Andrea Facchinetti (ORCID: https://orcid.org/0000-0001-8041-2280)
- Marco Catanuso
Institutions
- University of Padua (IT)
- Dexcom (United States) (US)
Publication Details
- Journal
- Journal of Diabetes Science and Technology
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1177/19322968251388107
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00