Patient-level effectiveness prediction modeling for glioblastoma using classification trees
Geldof, Tine Van Damme, Nancy Huys, Isabelle Van Dyck, Walter
Geldof, Tine
Van Damme, Nancy
Huys, Isabelle
Van Dyck, Walter
Citations
Altmetric:
Publication Type
Journal article with impact factor
Editor
Supervisor
Publication Year
2020
Journal
Frontiers in Pharmacology
Book
Publication Volume
10
Publication Issue
January
Publication Begin page
1
Publication End page
10
Publication NUmber of pages
Collections
Abstract
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.
Research Projects
Organizational Units
Journal Issue
Keywords
Real-world Evidence (RWE), Oncology, Exploratory Study, Propensity Score Modeling, Decision Tree, Machine Learning