76 citations · 82 across the 6 of their papers we have counts for
6 papers
Convolutional Gated Recurrent Units for Medical Relation Classification
Bin He, Yi Guan, Rui Dai
Convolutional neural network (CNN) and recurrent neural network (RNN) models have become the mainstream methods for relation classification. We propose a unified architecture, whic…
Classifying medical relations in clinical text via convolutional neural networks
Bin He, Yi Guan, Rui Dai
Deep learning research on relation classification has achieved solid performance in the general domain. This study proposes a convolutional neural network (CNN) architecture with a…
De-identification of medical records using conditional random fields and long short-term memory networks
Zhipeng Jiang, Chao Zhao, Bin He +2
The CEGS N-GRID 2016 Shared Task 1 in Clinical Natural Language Processing focuses on the de-identification of psychiatric evaluation records. This paper describes two participatin…
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning
Chao Zhao, Jingchi Jiang, Yi Guan
Objective: Electronic medical records (EMRs) contain an amount of medical knowledge which can be used for clinical decision support (CDS). Our objective is a general system that ca…
Building a comprehensive syntactic and semantic corpus of Chinese clinical texts
Bin He, Bin Dong, Yi Guan +5
Objective: To build a comprehensive corpus covering syntactic and semantic annotations of Chinese clinical texts with corresponding annotation guidelines and methods as well as to…
Developing a cardiovascular disease risk factor annotated corpus of Chinese electronic medical records
Jia Su, Bin He, Yi Guan +2
Cardiovascular disease (CVD) has become the leading cause of death in China, and most of the cases can be prevented by controlling risk factors. The goal of this study was to build…