StaResGRU-CNN with CMedLMs: A stacked residual GRU-CNN with pre-trained biomedical language models for predictive intelligence

Keyphrases

• Convolutional Neural Network 100%
• Predictive Intelligence 100%
• Language Model 100%
• GRU-CNN 100%
• Gated Recurrent Unit 100%
• Transfer Learning 50%
• Processing Task 33%
• Clinical Natural Language Processing 33%
• Downstream Task 33%
• Biomedical Field 33%
• English Language 16%
• Chinese Language 16%
• Professional Experience 16%
• Expert Knowledge 16%
• Competitive Performance 16%
• Text-dependent 16%
• Natural Language Processing 16%
• Electronic Medical Records 16%
• Freeform 16%
• Decision Task 16%
• Fully Developed 16%
• Prediction Task 16%
• Task Interdependence 16%
• Medical Systems 16%
• Applications in the Field 16%
• Biomedicine 16%
• Classification Task 16%
• Predictive Task 16%
• Different Granularity 16%
• Biomedical Text Data 16%
• Biomedical Text 16%
• Learning Language 16%
• Biomedical Knowledge 16%
• Task Model 16%
• Chinese Natural Language Processing 16%
• Disease Diagnosis Prediction 16%
• Biomedical Data Classification 16%
• Biomedical Named Entity Recognition 16%
• External Experts 16%
• Pre-trained Language Model 16%
• External Domain 16%

Computer Science

• Convolutional Neural Network 100%
• Language Modeling 100%
• Gated Recurrent Unit 100%
• Natural Language Processing 66%
• Transfer Learning 50%
• Processing Task 33%
• Decision-Making 16%
• Granularity 16%
• Text Classification 16%
• Domain Knowledge 16%
• Electronic Medical Record 16%
• Classification Task 16%
• Expert Knowledge 16%
• Professional Experience 16%
• Named Entity Recognition 16%
• Biomedical Knowledge 16%
• Pre-Trained Language Models 16%

Neuroscience

• Neural Network 100%
• Natural Language Processing 100%
• Decision-Making 25%