Ontology-guided feature engineering for clinical text classification

► Leveraged the structure of the UMLS to rank concepts for text classification. ► Used document class labels to define a context-sensitive semantic similarity measure. ► Classified clinical text with SVMs using a semantic kernel. ► Improved the top machine-learning system from I2B2 2008 challenge.