Multiclass machine learning classification of functional brain images for Parkinson's disease stage prediction.
Guan-Hua HuangChih-Hsuan LinYu-Ren CaiTai-Been ChenShih-Yen HsuNan-Han LuHuei-Yung ChenYi-Chen WuPublished in: Stat. Anal. Data Min. (2020)
Keyphrases
- multi class
- machine learning
- support vector machine
- brain images
- multiclass classification
- binary classifiers
- feature selection
- multi class classification
- cost sensitive
- multiclass problems
- multi class classifier
- multiple classes
- cost sensitive classification
- multiclass support vector machines
- error correcting output codes
- machine learning methods
- machine learning algorithms
- binary classification problems
- kernel fisher
- decision trees
- binary classification
- medical images
- supervised learning
- pattern recognition
- prediction accuracy
- support vector
- pairwise
- classification accuracy
- human brain
- text classification
- magnetic resonance
- brain regions
- brain activation
- multiclass svm
- cost sensitive learning
- svm classifier
- multiclass learning
- learning algorithm
- active learning
- image classification
- support vector machine svm
- cross validation
- normal controls
- mild cognitive impairment
- data mining
- feature extraction
- perceptron algorithm
- svm classification
- feature space
- base classifiers
- human subjects
- training samples
- feature vectors
- computer vision
- white matter