Active learning: a step towards automating medical concept extraction.
This paper presents an automatic, active learning-based system for the extraction of medical concepts from clinical free-text reports. Specifically, (1) the contribution of active learning in reducing the annotation effort and (2) the robustness of incremental active learning framework across different selection criteria and data sets are determined.
Author(s): Kholghi, Mahnoosh, Sitbon, Laurianne, Zuccon, Guido, Nguyen, Anthony
DOI: 10.1093/jamia/ocv069