Etiquetas Archivo: Machine learning

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Machine learning improves mortality risk prediction after cardiac surgery: Systematic review and meta-analysis

Abstract Background Interest in the usefulness of machine learning (ML) methods for outcomes prediction has continued to increase in recent years. However, the advantage of advanced ML model over traditional  (LR)..

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Using machine learning to predict perfusionists’ critical decision-making during cardiac surgery

Abstract The cardiac surgery operating room is a high-risk and complex environment in which multiple experts work as a team to provide safe and excellent care to patients. During the..

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Acute kidney injury in the critically ill: an updated review on pathophysiology and management

Abstract Acute kidney injury (AKI) is now recognized as a heterogeneous syndrome that not only affects acute morbidity and mortality, but also a patient’s long-term prognosis. In this narrative review,..

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