Incorporating feature selection methods into a machine learning-based neonatal seizure diagnosis.
The present study developed a feature selection (FS)-based decision support system using the electroencephalography (EEG) signals recorded from neonates with and without seizures. The study employed 10 different FS algorithms to reduce the classification cost by using fewer features and to improve t...
| Published in: | Medical Hypotheses Vol. 135 |
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| Main Authors: | , |
| Format: | research tables/charts Journal Article |
| Published: |
Elsevier B.V.
Feb2020
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| Online Access: | View this record in EBSCOhost |