Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries.
A system that translates narrative text in the medical domain into structured representation is in great demand. The system performs three sub-tasks: concept extraction, assertion classification, and relation identification.
Author(s): Xu, Yan, Hong, Kai, Tsujii, Junichi, Chang, Eric I-Chao
DOI: 10.1136/amiajnl-2011-000776