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Updated: Jan 16, 2026

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为什么随访在生存分析中很重要:比较cox比例危险回归和随机生存森林来预测心力衰竭结果

Emrah Gökay Özgür1, Gülnaz Nural Bekiroğlu2

  • 1Department of Biostatistics, School of Medicine, Marmara University, Istanbul, Türkiye. emrahgokayozgur@gmail.com.

BMC cardiovascular disorders
|September 27, 2025
PubMed
概括

改善心力衰竭生存预测的随访充分性可以提高模型的性能. 随机生存森林模型显示出优异的预测准确性和稳定性,与随着随访增加的考克斯回归相比.

关键词:
心脏衰竭是因为心脏衰竭.机器学习是机器学习.人工时间跟进率跟进率.随机生存森林是随机生存的森林.对生存分析的分析.

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