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通过在基于图形的数字双胞胎建模中有效的样本大小评估来提高临床结果预测.

Xi Li1, Jui-Hsuan Chang1, Mythreye Venkatesan1

  • 1Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, 90069, USA.

BioData mining
|April 15, 2025
PubMed
概括

由SynTwin生成的数字双胞胎可以改善癌症死亡率的预测,特别是使用更大的数据集. 这种合成数据方法在与真实患者数据的网络模型相结合时,可以提高准确性.

关键词:
数字双胞胎是一个数字双胞胎.有效样本大小是有效的样本大小.精准医学是一门精准的医学.可复制性 可复制性综合数据 综合数据

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