76 citations · 86 across the 10 of their papers we have counts for
10 papers
Medical Knowledge Embedding Based on Recursive Neural Network for Multi-Disease Diagnosis
Jingchi Jiang, Huanzheng Wang, Jing Xie +3
The representation of knowledge based on first-order logic captures the richness of natural language and supports multiple probabilistic inference models. Although symbolic represe…
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…
Classification of entities via their descriptive sentences
Chao Zhao, Min Zhao, Yi Guan
Hypernym identification of open-domain entities is crucial for taxonomy construction as well as many higher-level applications. Current methods suffer from either low precision or…
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…
Constructing a Hierarchical User Interest Structure based on User Profiles
Chao Zhao, Min Zhao, Yi Guan
The interests of individual internet users fall into a hierarchical structure which is useful in regards to building personalized searches and recommendations. Most studies on this…
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…
Learning and inference in knowledge-based probabilistic model for medical diagnosis
Jingchi Jiang, Chao Zhao, Yi Guan +1
Based on a weighted knowledge graph to represent first-order knowledge and combining it with a probabilistic model, we propose a methodology for the creation of a medical knowledge…
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…