Patient-Level Effectiveness Prediction Modeling for Glioblastoma Using Classification Trees

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...

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Detalles Bibliográficos
Autores principales: Geldof, Tine, Van Damme, Nancy, Huys, Isabelle, Van Dyck, Walter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025482/
https://www.ncbi.nlm.nih.gov/pubmed/32116674
http://dx.doi.org/10.3389/fphar.2019.01665

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025482/
https://www.ncbi.nlm.nih.gov/pubmed/32116674
http://dx.doi.org/10.3389/fphar.2019.01665

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