Adverse drug event and medication extraction in electronic health records via a cascading architecture with different sequence labeling models and word embeddings

Abstract

We have demonstrated that the proposed cascading architecture can handle the problem of overlapped annotations and further improve the overall recall and F-scores because the architecture enables the developed models to exploit more context information and forms an ensemble for creating a stronger recognizer.