Title
Medical Language Processing for Patient Diagnosis Using Text Classification and Negation Labelling
Document Type
Conference Paper
Rights
This item is available under a Creative Commons License for non-commercial use only
Disciplines
Computer Sciences, Bioinformatics
Abstract
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.
Recommended Citation
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.
http://arrow.dit.ie/scschcomcon/58
Publication Details
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)