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Improving methods of diagnosis and prognostication in neurodegenerative diseases through electroencephalography analysis and machine learning
Robin Vlieger
School of Medicine and Psychology
Research output
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Thesis
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Doctoral thesis
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Dive into the research topics of 'Improving methods of diagnosis and prognostication in neurodegenerative diseases through electroencephalography analysis and machine learning'. Together they form a unique fingerprint.
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Engineering
Tasks
100%
Feature Extraction
100%
Metrics
50%
Machine Learning Method
50%
Early Stage
50%
Filtration
50%
Raw Data
50%
Late Stage
50%
Region of Interest
50%
Support Vector Machine
50%
Extracted Feature
50%
Neuroscience
Parkinson's Disease
100%
Neurodegenerative Disorder
100%
Electroencephalography
100%
Multiple Sclerosis
33%
Event-related potentials
33%
Contingent Negative Variation
33%
Electroencephalography
16%
Support Vector Machine
16%
Psychology
Electroencephalography
100%
Event-Related Potential
28%
Resting-State
28%
Prognostic Model
28%
Cross-Validation
14%
Diagnostic Test
14%
Chemical Engineering
Learning System
100%
Support Vector Machine
33%
Computer Science
Managing People
16%
Gradient Boosting Classifier
16%