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Clinical text classification with rule-based features and knowledge-guided convolutional neural networks
BACKGROUND: Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a limited number of studies have exploited effective representation learning capa...
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| Vydáno v: | BMC Med Inform Decis Mak |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BioMed Central
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6448186/ https://ncbi.nlm.nih.gov/pubmed/30943960 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0781-4 |
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