Readmission prediction via deep contextual embedding of clinical concepts

Computer Science

• Global Context 100%
• Experimental Result 50%
• Case Study 50%
• Prediction Performance 50%
• Interpretability 50%
• Neural Network Model 50%
• Recurrent Neural Network 50%
• Generative Model 50%
• Representation Learning 50%
• Deep Neural Network 50%
• Deep Learning Model 50%

Keyphrases

• Deep Contextual Embedding 100%
• Readmission Prediction 100%
• Hospital Readmission 100%
• Clinical Concepts 100%
• Patient Representation 60%
• Patient Learning 20%
• ROC-AUC 20%
• Readmission Cost 20%
• Patient Phenotyping 20%
• Patient Electronic Health Records 20%
• Potential Risk Factors 20%

Engineering

• Electronic Health Record 100%