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ML-Net: multi-label classification of biomedical texts with deep neural networks
OBJECTIVE: In multi-label text classification, each textual document is assigned 1 or more labels. As an important task that has broad applications in biomedicine, a number of different computational methods have been proposed. Many of these methods, however, have only modest accuracy or efficiency...
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| Pubblicato in: | J Am Med Inform Assoc |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647240/ https://ncbi.nlm.nih.gov/pubmed/31233120 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocz085 |
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