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Plenary III-02: Accuracy of Natural Language Processing to Identify Pneumonia from Electronic Radiology Reports
BACKGROUND/AIMS: Pneumonia is common and can be devastating in older adults. Health plan data hold promise for studying pneumonia, but ICD-9 codes have poor accuracy for this condition. Natural language processing (NLP) offers potential to accurately and efficiently identify pneumonia from electroni...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Marshfield Clinic
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3251399/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3121/cmr.2011.1020.plenary-iii-02 |
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