Principal Component Analysis and Variable Selection in Intensive Care Monitoring.
Roland FriedUrsula GatherMichael ImhoffPublished in: AMIA (2002)
Keyphrases
- intensive care
- variable selection
- principal component analysis
- dimension reduction
- cross validation
- input variables
- health care
- decision support
- decision support system
- patient data
- high dimensional
- low dimensional
- dimensionality reduction
- model selection
- high dimensional data
- linear models
- classification trees
- linear discriminant analysis
- intensive care unit
- face recognition
- feature space
- singular value decomposition
- feature extraction
- feature selection
- logistic regression models
- feature vectors