Feature selection for automatic analysis of emotional response based on nonlinear speech modeling suitable for diagnosis of Alzheimer's disease.
Karmele López de IpiñaJesús Bernardino Alonso HernándezJordi Solé-CasalsCarlos Manuel Travieso-GonzálezAitzol EzeizaMarcos Faúndez-ZanuyPilar M. CalvoBlanca BeitiaPublished in: Neurocomputing (2015)
Keyphrases
- automatic analysis
- feature selection
- disease diagnosis
- early diagnosis
- text classification
- cardiovascular disease
- model based diagnosis
- computer aided diagnosis
- physiological processes
- optic nerve
- clinically relevant
- diagnostic tool
- emotional state
- medical diagnosis
- computer aided
- speech recognition
- text categorization
- feature extraction
- feature selection algorithms
- manual annotation
- diagnostic process
- automatic speech recognition
- gene expression data
- mutual information
- feature set
- multi class
- vessel tree