Empirical comparison of deep learning models for fNIRS pain decoding

Medicine & Life Sciences

• Deep Learning 100%
• Near-Infrared Spectroscopy 86%
• Long-Term Memory 83%
• Pain Measurement 73%
• Short-Term Memory 68%
• Pain 42%
• Computer Neural Networks 37%
• Machine Learning 32%
• Hand 22%
• Psychological Generalization 19%
• Nociception 17%
• Individuality 14%
• Analysis of Variance 11%
• Population 5%

Engineering & Materials Science

• Near infrared spectroscopy 98%
• Deep learning 64%
• Decoding 61%
• Long short-term memory 52%
• Convolutional neural networks 41%
• Machine learning 13%
• Analysis of variance (ANOVA) 9%
• Statistical methods 7%
• Experiments 3%