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Efficient novel network and index for alcoholism detection from EEGs
Muhammad Tariq Sadiq
, Siuly Siuly
, Ahmad Almogren
, Yan Li
, Paul Wen
School of Arch, Tech and Eng
Research output
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peer-review
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Keyphrases
Electroencephalography
100%
Alcohol Detection
100%
Alcoholism
50%
Alcoholic
50%
Illness
25%
Nineteen
25%
Clinically Significant
25%
Commercial Companies
25%
Healthcare Workers
25%
Neural Network Classifier
25%
Examination Techniques
25%
Error-prone
25%
Behavior Problems
25%
Attribute Selection
25%
Classification Accuracy
25%
Brain Injury
25%
Machine Learning Algorithms
25%
Social Difficulties
25%
Design Engineers
25%
Dynamic Pattern
25%
Cutout
25%
Opener
25%
Real-time Systems
25%
Classification Results
25%
Linear Features
25%
Nonlinear Features
25%
Correlation-based
25%
Matrix Determinant
25%
Edge System
25%
Recurrent Neural Network
25%
Commercial Design
25%
Catastrophic Condition
25%
Alcohol Problems
25%
Novel Index
25%
Classification Efficiency
25%
Computer Science
Neural Network
100%
Machine Learning Algorithm
100%
Design Engineer
100%
Real Time Systems
100%
Classification Accuracy
100%
classification result
100%
Recurrent Neural Network
100%
Health Care
100%
Neuroscience
Neural Network
100%
Machine Learning Algorithm
100%
Recurrent Neural Network
100%
Chemical Engineering
Learning System
100%
Recurrent Neural Network
100%
Neural Network
100%
Psychology
Neural Network
100%
Healthcare
50%
Learning Algorithm
50%