Develops a machine learning model to predict microalbuminuria in type 2 diabetes, suggesting personalized clinical interventions.
This study developed an interpretable machine learning model to predict MAU in T2DM patients, enabling effective risk stratification and identification of high-risk individuals based on baseline data to guide personalized clinical interventions and optimization of treatment.
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Liu et al. (2026) studied this question.
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