Send to

Choose Destination
J Biomed Inform. 2013 Feb;46(1):68-74. doi: 10.1016/j.jbi.2012.09.001. Epub 2012 Sep 21.

Assertion modeling and its role in clinical phenotype identification.

Author information

Biomedical and Health Informatics, University of Washington, Seattle, WA 98195-7240, United States.


This paper describes an approach to assertion classification and an empirical study on the impact this task has on phenotype identification, a real world application in the clinical domain. The task of assertion classification is to assign to each medical concept mentioned in a clinical report (e.g., pneumonia, chest pain) a specific assertion category (e.g., present, absent, and possible). To improve the classification of medical assertions, we propose several new features that capture the semantic properties of special cue words highly indicative of a specific assertion category. The results obtained outperform the current state-of-the-art results for this task. Furthermore, we confirm the intuition that assertion classification contributes in significantly improving the results of phenotype identification from free-text clinical records.

[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center