Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs)

Keyphrases

• Clinical Narratives 100%
• Syntactic Dependency 100%
• Graph Recurrent Neural Networks 100%
• Segment Graphs 100%
• Graph Convolutional Neural Network 100%
• Medical Problems 66%
• I2b2 66%
• Feature Engineering 66%
• Manual Features 66%
• Word Embedding 66%
• Relation Classification 66%
• Medical Treatment 33%
• Succeeding 33%
• Clinical Notes 33%
• Medical Tests 33%
• Learning Representations 33%
• Medical Concepts 33%
• Convolutional Neural Network 33%
• F-measure 33%
• Text Segmentation 33%
• Concept2 33%
• Concept Relation 33%
• GPU Platform 33%
• Dependency Information 33%

Computer Science

• Syntactics 100%
• Recurrent Neural Network 100%
• Graph Convolutional Network 100%
• Word Embedding 66%
• Convolutional Neural Network 33%
• Text Segment 33%
• Representation Learning 33%
• Medical Treatment 33%
• Graphics Processing Unit 33%