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Updated: Feb 10, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
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Published on: July 5, 2015

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一个封闭的多跳转注意力融合网络,用于提取跨语义的不良药物事件关系

Ed-Drissiya El-Allaly1, Ali Oubelkacem1, Hamid Bourray1

  • 1Computer Science Department, Faculty of Sciences, Moulay Ismail University, Zitoune, B.P. 11201 Meknes, Morocco.

Journal of healthcare informatics research
|February 9, 2026
PubMed
概括

本研究介绍了GMAFNet,这是一种新的深度学习模型,可以有效地从文本中提取不良药物事件 (ADE) 关系. GMAFNet实现了高准确度,超过了现有的药监监测方法.

关键词:
药物不良事件是药物不良事件.融合网络是一个融合网络.感觉间关系是感觉间的关系.自然语言处理自然语言处理.关系提取 关系提取转移学习转移学习

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