University of Washington - Biomedical Language Processing Group
Improving acesss to information hidden in biomedical text.
 

Assertion classifier [ download ]

This software implements the methodologies for determining the assertion category of a medical concept mentioned in clinical text as described in the following paper:
     Cosmin Adrian Bejan, Lucy Vanderwende, Fei Xia, and Meliha Yetisgen-Yildiz.
     Assertion modeling and its role in clinical phenotype identification.
     Journal of Biomedical Informatics (JBI), 2012.
     http://www.ncbi.nlm.nih.gov/pubmed/23000479
The development of this software was funded by Microsoft Research Connections.


Statistical feature selection [ download ]

This software is part of the statistical feature selection approach used for better identifying patients with a specific phenotype as described in the following paper:
     Cosmin Adrian Bejan, Fei Xia, Lucy Vanderwende, Mark M Wurfel, and Meliha Yetisgen-Yildiz.
     Pneumonia identification using statistical feature selection.
     Journal of the American Medical Informatics Association (JAMIA), 2012.
     http://www.ncbi.nlm.nih.gov/pubmed/22539080
The development of this software was funded by Microsoft Research Connections.

University of Washington
Biomedical and Health Informatics
Department of Linguistics
(c) 2011 UW-BioNLP