EEG-Based Classification Between Individuals with Mild Cognitive Impairment and Healthy Controls Using Conformal Kernel-Based Fuzzy Support Vector Machine.
Yu-Tsung HsiaoChien-Te WuChia-Fen TsaiYi-Hung LiuThanh-Tung TrinhChun-Ying LeePublished in: Int. J. Fuzzy Syst. (2021)
Keyphrases
- healthy controls
- fuzzy support vector machine
- mild cognitive impairment
- eeg data
- fold cross validation
- support vector machine
- support vector
- ad patients
- high degree of accuracy
- eeg signals
- pattern recognition
- functional magnetic resonance imaging
- pattern classification
- normal controls
- brain images
- classification accuracy
- decision trees
- clinical trials
- data mining
- support vector machine svm
- training set
- wide range
- independent component analysis
- feature extraction
- machine learning