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Reinforcement Learning Strategies for Clinical Trials in Non-small Cell Lung Cancer
Typical regimens for advanced metastatic stage IIIB/IV non-small cell lung cancer (NSCLC) consist of multiple lines of treatment. We present an adaptive reinforcement learning approach to discover optimal individualized treatment regimens from a specially designed clinical trial (a “clinical reinfor...
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| Hauptverfasser: | , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2011
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3138840/ https://ncbi.nlm.nih.gov/pubmed/21385164 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01572.x |
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