Article ID Journal Published Year Pages File Type
517462 Journal of the American Medical Informatics Association 2009 5 Pages PDF
Abstract
The performance achieved was in line with the agreement between human annotators, indicating the potential of text mining for accurate and efficient prediction of disease statuses from clinical discharge summaries.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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A Text Mining Approach to the Prediction of Disease Status from Clinical Discharge Summaries
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