A meta-contrastive learning approach for clinical drug-drug interaction extraction from biomedical literature.
Drug-drug interactions (DDIs) are a significant source of adverse drug events and pose critical challenges to patient safety and clinical decision-making. Extracting DDIs from biomedical literature plays an essential role in pharmacovigilance, yet remains difficult due to data sparsity and high anno...
محفوظ في:
| المؤلفون الرئيسيون: | , , , |
|---|---|
| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Public Library of Science (PLoS)
2025-12-01
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| سلاسل: | PLoS Computational Biology |
| الوصول للمادة أونلاين: | https://doi.org/10.1371/journal.pcbi.1013722 |
| الوسوم: |
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