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Updated: Sep 14, 2025

Establishing a Competing Risk Regression Nomogram Model for Survival Data
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Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

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预测死亡率的基于学习的联合模型:系统审查和元分析

Nurfaidah Tahir1,2, Chau-Ren Jung1,3, Shin-Da Lee4

  • 1Department of Public Health, College of Public Health, China Medical University, No. 100, Section 1, Jingmao Road, Beitun District, Taichung, 406040, Taiwan, 886 422053366 ext 6117.

Journal of medical Internet research
|July 21, 2025
PubMed
概括

联合学习 (FL) 模型表现出与集中式机器学习 (CML) 模型用于临床死亡率预测的可比性能,同时增强数据隐私. 由于研究的局限性,需要进一步的研究.

关键词:
集中的机器学习.联合学习的联合学习死亡率预测死亡率预测

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