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Interpretable machine learning prediction models for 28-day mortality in critically ill patients with atrial fibrillation and acute kidney injury.
0
Zitationen
3
Autoren
2026
Jahr
Abstract
We developed and externally validated interpretable ML models for 28-day mortality prediction in ICU patients with AF and AKI. These models may enhance prognostic accuracy, facilitate earlier intervention, and support clinical management in this high-risk population.
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