A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories.
Mehedi HasanAlexander KotovApril Idalski CarconeMing DongSylvie NaarKathryn Brogan HartliebPublished in: J. Biomed. Informatics (2016)
Keyphrases
- classification accuracy
- machine learning
- pattern recognition
- small number
- statistical analysis
- support vector
- feature space
- feature vectors
- receiver operating characteristic curves
- automatically classify
- pattern classification
- empirical studies
- text classification
- neural network
- feature extraction
- decision trees
- training data
- class labels
- classification method
- case study
- cost sensitive
- feature selection