This analysis develops predictive models for renal function recovery in acute kidney injury patients, suggesting the potential of machine learning algorithms in clinical settings.
Background: The primary objective of this study is to employ machine learning (ML) algorithms to develop predictive models for renal function recovery in critically ill patients undergoing continuous renal replacement therapy (CRRT) due to acute kidney injury (AKI).
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Zhong et al. (2025) studied this question.
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