Comparison of variable selection methods for clinical predictive modeling.
Journal:
International journal of medical informatics
Published Date:
May 21, 2018
Abstract
OBJECTIVE: Modern machine learning-based modeling methods are increasingly applied to clinical problems. One such application is in variable selection methods for predictive modeling. However, there is limited research comparing the performance of classic and modern for variable selection in clinical datasets.