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Updated: Jul 8, 2025

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Phar-LSTM:一个基于药理代表的LSTM网络,用于药物相互作用提取药物

Mingqing Huang1,2, Zhenchao Jiang2, Shun Guo2

  • 1School of Software Engineering, Shenzhen Institute of Information Technology, Shenzhen, Guangdong, China.

PeerJ
|December 18, 2023
PubMed
概括

本研究介绍了Phar-LSTM,一种使用药理表征和长短期记忆网络的新方法,以改善从生物医学文献中提取药物相互作用,旨在减少药物错误.

关键词:
药物药物相互作用提取长期短期记忆 长期短期记忆多任务学习是多任务学习.药理学代表团 药理学代表团

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