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Using Chief Complaints for Syndromic Surveillance: A Review of Chief Complaint Based Classifiers in North America
A major goal of Natural Language Processing in the public health informatics domain is the automatic extraction and encoding of data stored in free text patient records. This extracted data can then be utilized by computerized systems to perform syndromic surveillance. In particular, the chief compl...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3741452/ https://ncbi.nlm.nih.gov/pubmed/23602781 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2013.04.003 |
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