Machine learning for EEG-based biomarkers in Parkinson's disease.
M. Isabel VanegasMaria Felice GhilardiSimon P. KellyAnnabelle BlangeroPublished in: BIBM (2018)
Keyphrases
- machine learning
- disease progression
- computer vision
- ovarian cancer
- machine learning algorithms
- candidate genes
- signal processing
- pattern recognition
- natural language processing
- machine learning methods
- data mining
- knowledge acquisition
- active learning
- information extraction
- learning algorithm
- feature selection
- healthy subjects
- gene sets
- eeg signals
- decision trees
- biologically meaningful
- patient groups
- prostate cancer
- computational biology
- statistical methods
- support vector machine
- outbreak detection
- text mining
- gastric cancer
- amyotrophic lateral sclerosis