Importance-aware personalized learning for early risk prediction using static and dynamic health data

Keyphrases

• Health Data 100%
• Personalized Learning 100%
• Early Risk Prediction 100%
• Deep Learning Methods 50%
• Risk Prediction 50%
• Result Prediction 50%
• Medical Data 50%
• Influence Relationship 50%
• Prediction Method 25%
• AUC Score 25%
• Effective Treatment 25%
• Treatment Effect 25%
• Medical Treatment 25%
• Automatically Identify 25%
• Clinical Outcomes 25%
• Static Information 25%
• Residual Network 25%
• Long Short-term Memory 25%
• Quality of Health Care 25%
• Temporal Attention 25%
• Clinical Risk Prediction 25%
• Improving Health Care 25%
• Multisource Features 25%
• Multi-scale Network 25%
• Peptic Ulcer Bleeding 25%
• Sequential Dependencies 25%
• Clinical Data Mining 25%

Computer Science

• Deep Learning Method 100%
• Learning Approach 100%
• Experimental Result 50%
• Case Study 50%
• Data Mining 50%
• Static Information 50%
• Health Care 50%
• Residual Neural Network 50%
• Long Short-Term Memory Network 50%
• Medical Treatment 50%
• Clinical Outcome 50%
• Treatment Effect 50%
• Effective Treatment 50%
• Multiscale Residual Network 50%