Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling
Conclusions: Among various factors, the WHR emerged as the most critical attribute for T2D, underscoring the complexity of T2D etiology. Overall, the random forest and ensemble classifiers emerge as the most effective models, especially in mixed and female categories, highlighting their robustness i...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Journal of Diabetes Research |
| Online Access: | http://dx.doi.org/10.1155/jdr/5531934 |
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