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Updated: Jul 24, 2025

A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
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Published on: February 2, 2021

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在重症成人中开发和验证肌素清除预测器机器学习模型

Chao-Yuan Huang1, Fabian Güiza2, Pieter Wouters2

  • 1Laboratory of Intensive Care Medicine, Academic Department of Cellular and Molecular Medicine, KU Leuven, Leuven, Belgium.

Critical care (London, England)
|July 6, 2023
PubMed
概括

机器学习模型可以准确地预测重症患者的第二天肌素清除率 (CrCl). 这一进步有助于优化药物剂量,并识别有风险的个体,以便更好地进行临床管理.

关键词:
肌素的清除率是什么外部验证的验证方法在重症监护病房的重症监护病房.机器学习 机器学习预测模型的预测模型.

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