- Semi-supervised clinical text classification with Laplacian SVMs: An application to cancer case managementVijay Garla
Yale Center for Medical Informatics, Yale University, 300 George Street, Suite 501, New Haven, CT 06520 8009, United States Electronic address
J Biomed Inform 46:869-75. 2013..To compare linear and Laplacian SVMs on a clinical text classification task; to evaluate the effect of unlabeled training data on Laplacian SVM performance...
- Semantic similarity in the biomedical domain: an evaluation across knowledge sourcesVijay N Garla
Yale Center for Medical Informatics, Yale University, New Haven, CT 06520 8009, USA
BMC Bioinformatics 13:261. 2012..There have been few evaluations of the relative performance of these measures on other biomedical knowledge sources such as the UMLS, and on larger, recently developed semantic similarity benchmarks...
- Ontology-guided feature engineering for clinical text classificationVijay N Garla
Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, 300 George Street, Suite 501, New Haven, CT 06520 8009, USA
J Biomed Inform 45:992-8. 2012..We have released all tools developed as part of this study as open source, available at http://code.google.com/p/ytex...
- The Yale cTAKES extensions for document classification: architecture and applicationVijay Garla
Interdepartmental Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut, USA
J Am Med Inform Assoc 18:614-20. 2011..Clinical natural-language-processing systems annotate the syntax and semantics of clinical text; however, feature extraction and representation for document classification pose technical challenges...