Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine Learning Algorithms.
Andrés RojasEleni KroupiGéraldine MartensAurore ThibautAlice BarraSteven LaureysGiulio RuffiniAureli Soria-FrischPublished in: ICPR Workshops (1) (2020)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning
- learning algorithm
- predictive accuracy
- decision trees
- machine learning methods
- random forests
- learning problems
- prediction accuracy
- machine learning approaches
- standard machine learning algorithms
- physiological parameters
- brain computer interface
- neurodegenerative diseases
- learning models
- statistical machine learning
- machine learning models
- brain images
- learning tasks
- machine learning systems
- clinical setting
- transfer learning
- training data
- machine learning and data mining algorithms