Exploring diagnosis and imaging biomarkers of Parkinson's disease via iterative canonical correlation analysis based feature selection.
Luyan LiuQian WangEhsan AdeliLichi ZhangHan ZhangDinggang ShenPublished in: Comput. Medical Imaging Graph. (2018)
Keyphrases
- canonical correlation analysis
- feature selection
- disease progression
- clinically relevant
- gastric cancer
- diagnostic process
- early diagnosis
- canonical correlations
- least squares
- early detection
- partial least squares
- cardiovascular disease
- image processing
- fault diagnosis
- prostate cancer
- biomarker discovery
- text categorization
- gene sets
- dimensionality reduction methods
- microarray data
- mutual information
- knn
- equivalence relationship
- machine learning
- computer vision
- clinical trials
- unsupervised learning
- text classification
- feature set
- dimensionality reduction
- support vector
- feature extraction
- breast cancer
- support vector machine
- feature space
- kernel cca
- dimension reduction
- pattern recognition