Development of an interpretable machine learning model for predicting new-onset atrial fibrillation in patients with sepsis-associated acute kidney injury: A retrospective cohort study
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ObjectiveSepsis-associated acute kidney injury (SA-AKI) is a major contributor to multi-organ failure and often leads to complications such as new-onset atrial fibrillation (NOAF). NOAF is associated with poorer outcomes, including increased mortality. However... ...
