A Decision Support Tool for Predicting Patients at Risk of Readmission: A Comparison of Classification Trees, Logistic Regression, Generalized Additive Models, and Multivariate Adaptive Regression Splines.
Eren DemirPublished in: Decis. Sci. (2014)
Keyphrases
- logistic regression
- classification trees
- odds ratio
- intensive care
- logistic regression models
- multivariate adaptive regression splines
- generalized additive models
- decision trees
- naive bayes
- support vector
- random forests
- loss function
- tree models
- linear svm
- data sets
- risk factors
- knowledge acquisition
- text mining
- feature selection