A two-stage variable selection and classification approach for Parkinson's disease detection by using voice recording replications.
Lizbeth NaranjoCarlos J. PérezJacinto MartínYolanda Campos-RocaPublished in: Comput. Methods Programs Biomed. (2017)
Keyphrases
- variable selection
- cross validation
- dimension reduction
- model selection
- gene expression microarray data
- input variables
- leave one out cross validation
- classification accuracy
- linear models
- pattern recognition
- feature vectors
- support vector
- machine learning
- logistic regression models
- high dimensional
- decision trees
- neural network
- supervised learning
- high dimensionality
- ls svm
- unsupervised learning
- group lasso
- preprocessing
- data sets