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Evaluation of a Method to Identify and Categorize Section Headers in Clinical Documents
OBJECTIVE: Clinical notes, typically written in natural language, often contain substructure that divides them into sections, such as “History of Present Illness” or “Family Medical History.” The authors designed and evaluated an algorithm (“SecTag”) to identify both labeled and unlabeled (implied)...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3002123/ https://ncbi.nlm.nih.gov/pubmed/19717800 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M3037 |
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