Construction and evaluation of prediction model for renal function recovery in acute kidney injury patients undergoing continuous renal replacement therapy based on machine learning algorithms

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).Methods: Data were retrospectively...

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書誌詳細

出版年:	Annals of Medicine
主要な著者:	Lei Zhong, Yafei Liang, Liang Xu, Xiao-Wei Ji, Bo Xie, Xiang-Hong Yang
フォーマット:	論文
言語:	英語
出版事項:	Taylor & Francis Group 2025-12-01
主題:	Acute kidney injury continuous renal replacement therapy renal function recovery intensive care unit machine learning predictive models
オンライン･アクセス:	https://www.tandfonline.com/doi/10.1080/07853890.2025.2561794