Keyphrases
Machine Learning Approach
100%
Near-infrared Spectroscopy
100%
Objective Diagnosis
66%
Joint mutual Information
66%
Machine Learning
33%
Objective Assessment
33%
Risk Factors
33%
Pain Management
33%
Support Vector Machine
33%
Feature Selection
33%
Risk Reduction
33%
Feature Extraction
33%
Clinical Practice
33%
Learning Model
33%
Information Gain
33%
Pain Assessment
33%
Diagnostic Test
33%
K-nearest
33%
Wavelet
33%
Linear Discriminant Analysis
33%
Feature Ranking
33%
Testing Protocol
33%
Chi-square
33%
Patient Report
33%
Clinical Judgment
33%
Emotional Experience
33%
Sensory Experience
33%
Pain Intensity
33%
Definitive Diagnosis
33%
Potential Biomarkers
33%
Time-frequency
33%
Temperature Level
33%
Quantitative Sensory Testing
33%
Gaussian Kernel
33%
Gaussian Support Vector Machine
33%
Mutual Information Criterion
33%
Pain Types
33%
Thermal Test
33%
Polynomial Kernel
33%
Promising Biomarkers
33%
Computer Science
Feature Extraction
100%
Support Vector Machine
100%
Machine Learning Approach
100%
Mutual Information
100%
Machine Learning
50%
Learning System
50%
Feature Selection
50%
Linear Discriminant Analysis
50%
Information Gain
50%
Information Criterion
50%
Assessment Objective
50%
Emotional Experience
50%
Neuroscience
Functional near Infrared Spectroscopy
100%
Support Vector Machine
66%
Mutual Information
66%
Quantitative Sensory Testing
33%
Pharmacology, Toxicology and Pharmaceutical Science
Biological Marker
100%
Infrared Spectroscopy
100%
Chemical Engineering
Support Vector Machine
100%
Learning System
100%