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Automated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries
Objective: To determine whether natural language processing (NLP) can effectively detect adverse events defined in the New York Patient Occurrence Reporting and Tracking System (NYPORTS) using discharge summaries. Design: An adverse event detection system for discharge summaries using the NLP system...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2005
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1174890/ https://ncbi.nlm.nih.gov/pubmed/15802475 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M1794 |
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