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Updated: Jun 11, 2025

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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MeSH2Matrix:结合MeSH关键字和机器学习,基于PubMed进行生物医学关系分类

Houcemeddine Turki1, Bonaventure F P Dossou2,3, Chris Chinenye Emezue2,4

  • 1Data Engineering and Semantics Research Unit, Faculty of Sciences of Sfax, University of Sfax, Sfax, Tunisia. turkiabdelwaheb@hotmail.fr.

Journal of biomedical semantics
|October 1, 2024
PubMed
概括

这项研究引入了MeSH2Matrix,一个新的数据集和生物医学关系分类方法. 它通过使用医学科目标题 (MeSH) 资格符来增强机器学习模型,提高分析科学文献的准确性和可靠性.

关键词:
生物医学关系分类的分类.特性分析 特性分析集成梯度的集成梯度是指集成的梯度.机器学习 机器学习一个MeSH关键字的关键词.在MeSH的资格赛中,在PubMed的记录中,PubMed的记录记录.

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