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Establishing a Competing Risk Regression Nomogram Model for Survival Data
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使用最佳生存树模型对AF进行无事件生存时间预测

Danilo Lofaro1, Patrizia Vizza2, Giuseppe Tradigo3

  • 1University of Calabria, Italy.

Studies in health technology and informatics
|May 17, 2025
PubMed
概括

这项研究引入了一种新的最佳生存树 (OST) 方法,用于分析患者数据,以预测10年的心房动风险. OST方法表现出强大的预测性能,优于其他基于树的算法.

关键词:
在心房动中,心房动.机器学习 机器学习预测模型 预测模型生存树木 生存树木

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