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Updated: Mar 7, 2026

Segmentation and Linear Measurement for Body Composition Analysis using Slice-O-Matic and Horos
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开发一种可解释的机器学习模型,使用人体组成来预测初始透析患者的心血管死亡率:一项多中心研究

Xiao-Xu Wang1, Jin-Xuan Wei2, Tian-Ke Yu2

  • 1Department of Nephrology, Qilu Hospital of Shandong University, Shandong University, Jinan, China.

Frontiers in physiology
|March 6, 2026
PubMed
概括

一个新的机器学习模型使用CT扫描来预测透析患者的心血管疾病 (CVD) 死亡. 该工具有助于早期风险评估,以便在透析开始时制定更好的预防策略.

关键词:
心血管疾病死亡率 心血管疾病死亡率透析是通过透析进行的.机器学习是机器学习.风险预测风险预测骨肌肉的密度 骨肌肉的密度

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