Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees

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.Based on a retrospective observational registry covering 3090 patients with glioblastoma treated with...