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1765. Use of a Natural Language Processing-Based Informatics Pipeline for Infectious Disease Syndrome Surveillance
BACKGROUND: Automated surveillance for infectious disease syndromes (IDS) in hospitals mostly relies on structured data (e.g., diagnosis codes). Natural language processing (NLP) enables screening and concept extraction from large repositories of unstructured data (e.g., clinician notes). We demonst...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6253153/ http://dx.doi.org/10.1093/ofid/ofy209.150 |