Development and internal validation of an interpretable machine-learning model for identifying comorbid atrial fibrillation in patients with diabetic kidney disease
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Background: Patients with diabetic kidney disease (DKD) are at increased risk of atrial fibrillation (AF), yet tools to support identification of comorbid AF in this high-burden population remain limited. We aimed to develop and ... ...
