Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting.
Lasse HansenRoberta RoccaArndis SimonsenAlberto ParolaVibeke BlikstedNicolai LadegaardDan BangKristian TylénEthan WeedSøren Dinesen ØstergaardRiccardo FusaroliPublished in: CoRR (2023)
Keyphrases
- automated classification
- classification accuracy
- classification scheme
- automatic classification
- support vector
- pattern recognition
- classification algorithm
- support vector machine svm
- machine learning
- classification process
- class labels
- benchmark datasets
- text classification
- decision trees
- image classification
- machine learning methods
- data sets
- feature selection
- multimedia
- classification models
- speech recognition
- feature space
- training set
- sufficient conditions
- support vector machine
- decision rules
- preprocessing
- pattern classification
- fully automated
- feature vectors
- noisy environments