A clinical support system for classification and prediction of depression using machine learning methods.
Chaymae BenfaresOuidad AkhrifYounès El Bouzekri El IdrissiKarim HamidPublished in: Comput. Intell. (2021)
Keyphrases
- bladder cancer
- pattern recognition
- classification scheme
- decision trees
- machine learning
- pattern classification
- classification algorithm
- feature vectors
- classification accuracy
- lung disease
- disease diagnosis
- model selection
- classification systems
- prediction accuracy
- class labels
- data mining
- correct classification
- automatic classification
- prediction model
- classification method
- regression model
- support vector machine svm
- text classification
- classification rules
- association rules
- classification models
- prediction error
- feature selection
- knowledge management
- supervised learning
- neural networks and support vector machines
- end users