A study of deep learning approaches for medication and adverse drug event extraction from clinical text
Journal of the American Medical Informatics Association2019Vol. 27(1), pp. 13–21
Citations Over TimeTop 10% of 2019 papers
Qiang Wei, Zongcheng Ji, Zhiheng Li, Jingcheng Du, Jingqi Wang, Jun Xu, Yang Xiang, Firat Tiryaki, Stephen Wu, Yaoyun Zhang, Cui Tao, Hua Xu
Abstract
In this study, we developed deep learning approaches for extracting medications and their attributes such as ADEs, and demonstrated its superior performance compared with traditional machine learning algorithms, indicating its uses in broader NER and RC tasks in the medical domain.
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