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结合机器学习和尿氧测量:走向一个内科手术AKI风险预测算法

Lars Lofgren1, Natalie Silverton2,3, Kai Kuck1,2

  • 1Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.

Journal of clinical medicine
|September 9, 2023
PubMed
概括

监测尿液中的氧气水平可能有助于预测心脏手术患者的急性损伤 (AKI). 使用手术内尿氧数据的AI模型与仅使用手术前因素的模型相比,改善了AKI预测.

关键词:
急性脏损伤急性脏损伤心脏外科手术的心脏手术机器学习是机器学习.尿路氧化 尿路氧化

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