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A clinical text classification paradigm using weak supervision and deep representation
BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classification tasks. However, a successful machine learning mo...
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| Publicado no: | BMC Med Inform Decis Mak |
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| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6322223/ https://ncbi.nlm.nih.gov/pubmed/30616584 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-018-0723-6 |
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