A contribution-interpretable belief rule base model for obesity risk prediction using physical indicators and dietary habits
The DBRB-C model successfully bridges the gap between accuracy and interpretability in obesity risk assessment. Its transparent, contribution-aware architecture offers a reliable foundation for personalized lifestyle interventions and supports evidence-based clinical decision-making in endocrinology and preventive health.
Authors
- Hailong Zhu (ORCID: https://orcid.org/0000-0001-9920-1379)
- Yinling Mao
- Wei Fan (ORCID: https://orcid.org/0000-0002-5980-4527)
- Jiang Li (ORCID: https://orcid.org/0000-0002-7875-0026)
Institutions
- Harbin Normal University (CN)
- Harbin Medical University (CN)
- Third Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2025-12-08
- DOI
- https://doi.org/10.3389/fendo.2025.1706780
- Primary Topic
- Nutrition, Genetics, and Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Primary Health Care Foundation