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CBOWRA: A Representation Learning Approach for Medication Anomaly Detection
Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patients and hospital services.
Fast and Accurate Recognition of Chinese Clinical Named Entities with Residual Dilated Convolutions
In this paper, we propose a Residual Dilated Convolutional Neural Network with Conditional Random Field (RD-CNN-CRF) to solve it.
Automatic Severity Classification of Coronary Artery Disease via Recurrent Capsule Network
Coronary artery disease (CAD) is one of the leading causes of cardiovascular disease deaths.
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