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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Detaylı Bibliyografya
Asıl Yazarlar: Denny, Joshua C., Spickard, Anderson, Johnson, Kevin B., Peterson, Neeraja B., Peterson, Josh F., Miller, Randolph A.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: American Medical Informatics Association 2009
Konular:
Original Investigation: Research Paper
Online Erişim: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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