Key result
The machine learning nomogram accurately predicted atrial fibrillation with an AUC of 0.862 in a cohort of patients with Type 2 diabetes and obstructive sleep apnea.
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Multicenter cohort study develops a predictive model for atrial fibrillation in type 2 diabetes patients, highlighting insulin resistance implications.
Xu et al. (2025) studied this question. The machine learning nomogram accurately predicted atrial fibrillation with an AUC of 0.862 in a cohort of patients with Type 2 diabetes and obstructive sleep apnea.
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