Linear discriminant analysis and principal component analysis to predict coronary artery disease.
Carlo RicciardiAntonio Saverio ValenteKyle Joseph EdmundsValeria CantoniRoberta GreenAntonella FiorilloIlaria PiconeStefania SantiniMario CesarelliPublished in: Health Informatics J. (2020)
Keyphrases
- linear discriminant analysis
- principal component analysis
- coronary artery disease
- discriminant analysis
- clinical setting
- dimensionality reduction
- face recognition
- myocardial perfusion
- dimension reduction
- feature extraction
- feature space
- principal components
- independent component analysis
- linear projection
- clinical practice
- low dimensional
- null space
- fisher criterion
- singular value decomposition
- cardiovascular disease
- support vector
- covariance matrix
- coronary artery
- machine learning
- scatter matrices
- cluster analysis
- lower dimensional
- diagnostic process
- decision trees
- data mining