Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting.
To develop a natural language processing system that identifies relations of medications with adverse drug events from clinical narratives. This project is part of the 2018 n2c2 challenge.
Author(s): Yang, Xi, Bian, Jiang, Fang, Ruogu, Bjarnadottir, Ragnhildur I, Hogan, William R, Wu, Yonghui
DOI: 10.1093/jamia/ocz144