A Bayesian Belief Network model for the estimation of risk of cardiovascular events in subjects with type 1 diabetes
We observe a good predictive ability of the proposed methodology with accurate parameter estimation. The BBN approach takes into account causal relationships between variables, providing a comprehensive description of the system. This makes it possible to derive useful tools for optimising intervention.
Authors
- Ornella Moro (ORCID: https://orcid.org/0000-0002-3607-1797)
- Marit B. Veierød (ORCID: https://orcid.org/0000-0002-2083-2758)
- Maja‐Lisa Løchen (ORCID: https://orcid.org/0000-0002-8532-6573)
- Ana M. Wägner (ORCID: https://orcid.org/0000-0002-7663-9308)
- Inger Torhild Gram (ORCID: https://orcid.org/0000-0002-0031-4152)
- Giovanni V. Sebastiani (ORCID: https://orcid.org/0000-0003-0819-8149)
Institutions
- University Hospital of North Norway (NO)
- University of Oslo (NO)
- Hospital Universitario Insular de Gran Canaria (ES)
- Istituto per le Applicazioni del Calcolo Mauro Picone (IT)
- UiT The Arctic University of Norway (NO)
Publication Details
- Journal
- Computers in Biology and Medicine
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1016/j.compbiomed.2025.109967
- Citations
- 3
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 3.88
Funders
- European Commission
- National Institutes of Health
- Horizon 2020 Framework Programme
- National Center for Research Resources