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Updated: Jun 13, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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将倾向得分方法与变异自编码器结合起来,在存在潜伏子组时生成合成数据

Kiana Farhadyar1,2, Federico Bonofiglio3, Maren Hackenberg4,5

  • 1Institute of Medical Biometry and Statistics, University of Freiburg, Freiburg, Germany. kiana.farhadyar@uniklinik-freiburg.de.

BMC medical research methodology
|September 9, 2024
PubMed
概括

生成合成临床数据需要保持个体差异. 这项研究将变量自编码器与统计方法相结合,以准确地反映在合成数据集中的已知和未知的患者异质性.

关键词:
一个复杂的分销系统.深度生成模型深度生成模型倾向性得分的得分是多少?综合数据 综合数据变量自动编码器变量自动编码器

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