Patient-level effectiveness prediction modeling for glioblastoma using classification trees
Publication type
Journal article with impact factorPublication Year
2020Journal
Frontiers in PharmacologyPublication Volume
10Publication Issue
JanuaryPublication Begin page
1Publication End page
10
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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.Keyword
Real-world Evidence (RWE), Oncology, Exploratory Study, Propensity Score Modeling, Decision Tree, Machine LearningKnowledge Domain/Industry
Special Industries : Healthcare Managementae974a485f413a2113503eed53cd6c53
10.3389/fphar.2019.01665
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