| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 517397 | Journal of the American Medical Informatics Association | 2009 | 10 Pages |
Abstract
The SecTag algorithm accurately identified both labeled and unlabeled sections in history and physical documents. This type of algorithm may assist in natural language processing applications, such as clinical decision support systems or competency assessment for medical trainees.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Joshua C. MD, MS, Anderson MD, MS, Kevin B. MD, MS, Neeraja B. MD, MSc, Josh F. MD, MPH, Randolph A. MD,