Random forest-based prediction of parkinson's disease progression using acoustic, ASR and intelligibility features.
Alexander ZlotnikJuan Manuel MonteroRubén San SegundoAscensión Gallardo-AntolínPublished in: INTERSPEECH (2015)
Keyphrases
- random forest
- feature set
- decision trees
- feature extraction
- prediction accuracy
- disease progression
- feature selection
- ensemble classifier
- ensemble methods
- machine learning
- speech recognition
- benchmark datasets
- feature vectors
- feature space
- classification accuracy
- multi label
- face recognition
- image segmentation
- neural network