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Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification
Classifying relations between pairs of medical concepts in clinical texts is a crucial task to acquire empirical evidence relevant to patient care. Due to limited labeled data and extremely unbalanced class distributions, medical relation classification systems struggle to achieve good performance o...
Tallennettuna:
| Julkaisussa: | AMIA Annu Symp Proc |
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| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
American Medical Informatics Association
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5977715/ https://ncbi.nlm.nih.gov/pubmed/29854174 |
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