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Extracting principal diagnosis, co-morbidity and smoking status for asthma research: evaluation of a natural language processing system
BACKGROUND: The text descriptions in electronic medical records are a rich source of information. We have developed a Health Information Text Extraction (HITEx) tool and used it to extract key findings for a research study on airways disease. METHODS: The principal diagnosis, co-morbidity and smokin...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1553439/ https://www.ncbi.nlm.nih.gov/pubmed/16872495 http://dx.doi.org/10.1186/1472-6947-6-30 |