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Updated: Jan 15, 2026

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可解释的机器学习模型用于预测维护血液透析患者的蛋白质能量浪费

Genlian Cai1,2, Yujiao Zhang1,2, Mengyan Pan1,2

  • 1Department of Nursing, The First Affiliated Hospital, Zhejiang University School of Medicine, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, 310003, China.

BMC nephrology
|October 14, 2025
PubMed
概括

一个可解释的机器学习模型可以识别维护血液透析 (MHD) 患者的蛋白质能量浪费 (PEW) 风险. 这种工具有助于早期营养干预,以获得更好的临床结果.

关键词:
血液透析是血液透析的方法之一.机器学习 机器学习预测模型的预测模型.蛋白质 - 浪费能量浪费能量

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