Resting-State Functional Network Scale Effects and Statistical Significance-Based Feature Selection in Machine Learning Classification.
Hao GuoYao LiGodfred Kim MensahYong XuJunjie ChenJie XiangDongwei ChenPublished in: Comput. Math. Methods Medicine (2019)
Keyphrases
- feature selection
- machine learning
- statistical significance
- resting state
- classification accuracy
- machine learning methods
- brain activity
- support vector machine
- support vector
- pattern recognition
- statistically significant
- activation detection
- machine learning algorithms
- feature set
- feature extraction
- decision trees
- permutation tests
- feature space
- model selection
- brain connectivity
- high dimensionality
- statistical tests
- functional connectivity
- feature ranking
- data mining
- feature vectors
- roc curve
- supervised learning
- pairwise
- data analysis
- eeg signals
- cross validation