Medical language processing for patient diagnosis using text classification and negation labelling

Brian Mac Namee, Dublin Institute of Technology
John Kelleher, Dublin Institute of Technology
Sarah Jane Delany, Dublin Institute of Technology

Document Type Conference Paper

In Proceedings of the Second i2b2 Shared-Task Workshop on Challenges in Natural Language Processing for Clinical Data, American Medical Informatics Association Annual Conference (AMIA'08)


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.