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Updated: Jul 2, 2025

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一个拉普拉斯规范图形神经网络用于多种慢性疾病的预测建模

Julian Carvajal Rico1, Adel Alaeddini1, Syed Hasib Akhter Faruqui2

  • 1Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249, United States of America.

Computer methods and programs in biomedicine
|February 21, 2024
PubMed
概括

本研究引入了带有拉普拉斯规则化的图形神经网络 (GNN),以更好地了解多种慢性疾病. 增强的GNN模型达到89%以上的准确性,在预测复杂疾病关系方面表现优于标准模型.

关键词:
图表神经网络的神经网络拉普拉斯规范化的规范化有多种慢性疾病.风险因素 风险因素

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