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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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| Veröffentlicht in: | Front Pharmacol |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7025482/ https://ncbi.nlm.nih.gov/pubmed/32116674 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphar.2019.01665 |
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