Discovering predictors of mental health service utilization with k-support regularized logistic regression.
Hakim SidahmedElena ProkofyevaMatthew B. BlaschkoPublished in: Inf. Sci. (2016)
Keyphrases
- logistic regression
- mental health
- decision trees
- predictive power
- random forests
- support vector
- credit scoring
- chi square
- loss function
- logistic regression models
- classification trees
- naive bayes
- generalized linear models
- fold cross validation
- breast cancer
- predictor variables
- odds ratio
- belief nets
- decision support
- active learning
- feature extraction
- machine learning
- data sets
- data mining
- text categorization
- data points
- information retrieval