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Updated: Jun 23, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Published on: July 14, 2015

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从OMOP常用数据模型中学习debiased图表表示,用于合成数据生成

Nicolas Alexander Schulz1, Jasmin Carus2, Alexander Johannes Wiederhold3

  • 1Institute for Applied Medical Informatics, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. n.schulz@uke.de.

BMC medical research methodology
|June 22, 2024
PubMed
概括

这项研究引入了一种可解释的方法,用于使用OMOP和Synthea生成合成患者数据,从而实现专家验证. TARM和DYNOTEARS算法被认为是合成数据生成中的实际应用.

关键词:
因果发现因果发现基于约束的因果发现.恐龙鸟 (Dynoteria) 是一种恐龙鸟.离散的时间序列.基于梯度的因果发现.图形模型 图形模型标准化电子健康记录标准化电子健康记录结构方程模型 结构方程模型合成数据生成 合成数据生成时间协会规则采矿 (TARM)

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