Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees.

Journal: Frontiers in pharmacology
Published Date: Jan 31, 2020

Abstract

OBJECTIVES: Little research has been done in pharmacoepidemiology on the use of machine learning for exploring medicinal treatment effectiveness in oncology. Therefore, the aim of this study was to explore the added value of machine learning methods to investigate individual treatment responses for glioblastoma patients treated with temozolomide.

Authors

  • Tine Geldof
    Healthcare Management Centre, Vlerick Business School, Ghent, Belgium.
  • Nancy Van Damme
    Belgian Cancer Registry, Brussels, Belgium.
  • Isabelle Huys
    Department of Pharmaceutical and Pharmacological Sciences, Research Centre for Pharmaceutical Care and Pharmaco-economics, KU Leuven, Leuven, Belgium.
  • Walter Van Dyck
    Healthcare Management Centre, Vlerick Business School, Ghent, Belgium.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals