KAME: Knowledge-based attention model for diagnosis prediction in healthcare

Computer Science

• Health Information 100%
• Attention (Machine Learning) 100%
• Experimental Result 50%
• Recurrent Neural Network 50%
• Predictive Model 50%
• Good Performance 50%
• Training Data 50%
• Prediction Performance 50%
• Prediction Accuracy 50%
• Healthcare Record 50%
• Knowledge Graph 50%

Keyphrases

• Diagnosis Prediction 100%
• Interpretable Predictive Models 33%
• Data Sufficiency 33%
• Knowledge Attention Mechanism 33%