Combining deep learning with token selection for patient phenotyping from electronic health records

Keyphrases

• Deep Learning 100%
• Token 100%
• Patient Phenotyping 100%
• Electronic Health Records 100%
• Token Selection 100%
• Text Data 75%
• Selection Mechanism 50%
• Information Content 50%
• Discharge Summary 50%
• Word-level 50%
• Network Architecture 50%
• Complex Data 25%
• Artificial Intelligence 25%
• Big Data 25%
• Complex Networks 25%
• Health-related 25%
• Data Quality 25%
• Freeform 25%
• Data Combination 25%
• CNN Model 25%
• Chronic Pain 25%
• Learning Curve 25%
• Clinical Information 25%
• Large Sample Size 25%
• Curve Selection 25%
• Data Quantity 25%
• Sentence-level 25%
• Automatic Prediction 25%
• Zipf's Law 25%
• Explainable AI 25%
• Natural Language Processing 25%
• Convolutional Neural Network 25%
• Deep Learning Neural Network 25%
• Token Frequency 25%
• Performance Gain 25%

Computer Science

• Information Content 100%
• Network Architecture 100%
• Convolutional Neural Network 100%
• Deep Learning Method 100%
• Big Data 50%
• Explainable Artificial Intelligence 50%
• Natural Language Processing 50%
• Token Frequency 50%
• Complex Networks 50%
• Learning Curve 50%
• Neural Network 50%
• Performance Gain 50%
• Artificial Intelligence 50%

Psychology

• Neural Network 100%
• Artificial Intelligence 100%
• Chronic Pain 50%
• Big Data 50%