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Computer Sciences, Bioinformatics
This paper describes the approach of the DIT AIGroup to the i2b2 Obesity Challenge to build a system to diagnose obesity and related co-morbidities from narrative, unstructured patient records. Based on experimental results a system was developed which used knowledge-light text classification using decision trees, and negation labelling.
Mac Namee, B., Kelleher, J. & Delany, S. (2008). Language Processing for Patient Diagnosis Using Text Classification and Negation Labelling. Second i2b2 Shared-Task Workshop on Challenges in Natural Language Processing for Clinical Data, American Medical Informatics Association Annual Conference (AMIA '08). doi:10.21427/2yxj-t186