Individualized seizure cluster prediction using machine learning and ambulatory intracranial EEG.
Krishnakant V. SabooYurui CaoVáclav KremenVladimir SladkyNicholas M. GreggPaul M. ArnoldPhilippa J. KarolyDean R. FreestoneMark J. CookGregory A. WorrellRavishankar K. IyerPublished in: BIBM (2022)
Keyphrases
- machine learning
- epileptic seizures
- eeg signals
- physiological signals
- eeg data
- prediction accuracy
- clustering algorithm
- computer vision
- machine learning algorithms
- brain activity
- pattern recognition
- prediction model
- information extraction
- signal processing
- learning styles
- learning process
- machine learning methods
- learning tasks
- feature selection
- prediction algorithm
- decision trees
- prediction error
- active learning
- knowledge acquisition
- natural language processing
- supervised learning
- data clustering
- brain computer interface
- text classification
- explanation based learning
- predictive model
- medical images
- learning algorithm
- data mining