Readmission prediction via deep contextual embedding of clinical concepts

Agriculture & Biology

• prediction 94%
• learning 47%
• neural networks 37%
• electronics 32%
• probabilistic models 26%
• heart failure 24%
• phenotype 22%
• risk factors 16%
• case studies 14%
• methodology 9%

Medicine & Life Sciences

• Patient Readmission 100%
• Electronic Health Records 35%
• Learning 25%
• Deep Learning 23%
• Computer Neural Networks 22%
• Hospital Costs 19%
• Statistical Models 19%
• Psychological Power 16%
• Area Under Curve 14%
• Heart Failure 12%
• Phenotype 10%