This item is available under a Creative Commons License for non-commercial use only
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, Brian; Kelleher, John; and Delany, Sarah Jane, "Medical Language Processing for Patient Diagnosis Using Text Classification and Negation Labelling" (2008). Conference papers. Paper 58.