Voice assessments for detecting patients with neurological diseases using PCA and NPCA.
Achraf BenbaAbdelilah JilbabAhmed HammouchPublished in: Int. J. Speech Technol. (2017)
Keyphrases
- kernel pca
- principal component analysis
- clinically relevant
- neurodegenerative diseases
- cardiovascular disease
- diabetes mellitus
- colorectal cancer
- principal components analysis
- clinical diagnosis
- feature extraction
- dimensionality reduction
- early diagnosis
- principal components
- dimension reduction
- clinical data
- risk factors
- principle component analysis
- covariance matrix
- infectious disease
- linear discriminant analysis
- high dimensional
- patient groups
- disease progression
- face recognition
- spectral clustering
- independent component analysis
- kernel methods
- blood pressure
- patient records
- singular value decomposition
- disease diagnosis
- input space
- face images
- medical doctors