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Wang, Xiaoliang
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2025
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Quest2025_042.pdf
Adobe PDF, 482.92 KB
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This study applies machine learning to enhance early detection of metabolic risks by predicting FPG levels from key health indicators. By evaluating different models, it improves predictive accuracy, enabling data-driven interventions for diabetes prevention and more effective health management.