Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees

Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees

ObjectivesLittle 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 gl...

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Bibliographic Details
Main Authors: Tine Geldof, Nancy Van Damme, Isabelle Huys, Walter Van Dyck
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Pharmacology
Subjects:
real world evidence
oncology
exploratory study
propensity score modeling
decision tree
machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2019.01665/full

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