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用非小细胞肺癌患者的临床和PET数据来预测生存结果的集中和非同步联合学习方法之间的比较

Vi Thi-Tuong Vo1, Tae-Ho Shin2, Hyung-Jeong Yang1

  • 1Department of Artificial Intelligence Convergence, Chonnam National University, Gwangju, 61186, South Korea.

Computer methods and programs in biomedicine
|March 8, 2024
PubMed
概括

联合学习 (FL) 有效预测非小细胞肺癌 (NSCLC) 患者使用临床和PET数据的生存时间. 这种保护隐私的方法与集中式模型的性能相匹配,优于单个客户端的方法.

关键词:
临床因素 临床因素联合学习是联合学习.多模式预测多模式预测非小细胞肺癌是非小细胞肺癌.定子发射断层扫描 (PET) 是一种定子发射断层扫描.幸存时间生存时间.

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