Abstract Background and objectives Cardiac surgery associated acute kidney injury can lead to increased morbidity, mortality, and hospitalization. The available risk assessment tools have limited predictive ability. Machine learning has..
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Abstract In-hospital mortality after venoarterial extracorporeal membrane oxygenation (VA-ECMO) remains high. This study compared the performance of the Survival after Venoarterial ECMO (SAVE) score with machine learning (ML) models incorporating..
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Abstract Objectives The aim of this study was to present an artificial neural network (ANN) model for the accurate estimation of in-hospital mortality and to demonstrate the validity of the..
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Abstract Background The objective of this study was to assess the incidence of in‐hospital acute kidney injury (AKI) after cardiac surgery by comparing preoperative baseline renal function with renal function..
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Objective The aim was to evaluate the predictive value of for in adult cardiac surgery with . Design Retrospective and systematic review of the literature. Setting A tertiary university hospital. Participants 202 patients undergoing..
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