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ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network
Automated ICD coding, which assigns the International Classification of Disease codes to patient visits, has attracted much research attention since it can save time and labor for billing. The previous state-of-the-art model utilized one convolutional layer to build document representations for pred...
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| Pubblicato in: | Proc AAAI Conf Artif Intell |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8315310/ https://ncbi.nlm.nih.gov/pubmed/34322282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1609/aaai.v34i05.6331 |
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