Detection of Atrial Fibrillation from Short ECG Signals Using a Hybrid Deep Learning Model

Mathematics

• Hybrid Learning 100%
• Atrial Fibrillation 84%
• Memory Term 52%
• Neural Networks 45%
• Feature Extraction 36%
• Convolution 33%
• Learning 29%
• Data Mining 27%
• Architecture 17%
• Model 15%
• Domain Knowledge 12%
• Memory Model 11%
• Feature Selection 10%
• Receiver Operating Characteristic Curve 9%
• Specificity 9%
• Learning Algorithm 9%
• Complications 9%
• Machine Learning 8%
• Monitoring 8%
• Heuristics 6%
• Evaluate 6%
• Configuration 6%
• Design 5%
• Performance 4%

Engineering & Materials Science

• Long short-term memory 56%
• Deep learning 43%
• Convolution 39%
• Neural networks 29%
• Feature extraction 24%
• Data mining 20%
• Learning algorithms 6%
• Machine learning 5%
• Monitoring 4%