Evaluating diabetes risk: Bayesian hierarchical models and machine learning integration
Type 2 diabetes mellitus (T2DM) is a global health concern influenced by factors such as obesity, sedentary behavior, and poor diet. This study aims to analyze both regional and individual predictors of T2DM in Bangladesh by integrating Bayesian hierarchical models with machine learning methods. Thi...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2026-02-01
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| Collection: | Heliyon |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2405844026000113 |
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