Predictive analytics for step-up therapy: Supervised or semi-supervised learning?

Journal: Journal of biomedical informatics
Published Date:

Abstract

BACKGROUND: Step-up therapy is a patient management approach that aims to balance the efficacy, costs and risks posed by different lines of medications. While the initiation of first line medications is a straightforward decision, stepping-up a patient to the next treatment line is often more challenging and difficult to predict. By identifying patients who are likely to move to the next line of therapy, prediction models could be used to help healthcare organizations with resource planning and chronic disease management.

Authors

  • Mohammad Amin Morid
    Department of Operations and Information Systems, David Eccles School of Business, University of Utah, Salt Lake City, UT, USA.
  • Michael Lau
    Advanced Analytics, Gilead Sciences, San Francisco, CA, United States.
  • Guilherme Del Fiol
    Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, United States.