Dissipating the Fog at the Crossroad: Predicting Survival after the Initiation of Kidney Replacement Therapy.
作者信息
Côté Jean-Maxime, Beaubien-Souligny William
机构信息
Division of Nephrology, Centre Hospitalier de l'Université de Montréal, Montréal, Canada.
Research Center, Centre Hospitalier de l'Université de Montréal, Montréal, Canada.
出版信息
Kidney360. 2022 Mar 25;3(4):586-589. doi: 10.34067/KID.0001122022. eCollection 2022 Apr 28.
Abstract
摘要
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A Novel Predictive Model for Hospital Survival in Patients who are Critically Ill with Dialysis-Dependent AKI: A Retrospective Single-Center Exploratory Study.一种用于预测透析依赖型 AKI 危重症患者住院存活率的新型预测模型：一项回顾性单中心探索性研究。
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Development and Reporting of Prediction Models: Guidance for Authors From Editors of Respiratory, Sleep, and Critical Care Journals.预测模型的制定和报告：呼吸、睡眠和危重病期刊编辑给作者的指南。
Crit Care Med. 2020 May;48(5):623-633. doi: 10.1097/CCM.0000000000004246.
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Machine learning algorithm to predict mortality in patients undergoing continuous renal replacement therapy.机器学习算法预测行连续性肾脏替代治疗患者的死亡率。
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Predicting mortality among critically ill patients with acute kidney injury treated with renal replacement therapy: Development and validation of new prediction models.预测接受肾脏替代治疗的急性肾损伤危重症患者的死亡率：新预测模型的建立和验证。
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