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Reinforcement Learning Strategies for Clinical Trials in Nonsmall Cell Lung Cancer
Work
Year: 2011
Type: article
Abstract: Summary Typical regimens for advanced metastatic stage IIIB/IV nonsmall cell lung cancer (NSCLC) consist of multiple lines of treatment. We present an adaptive reinforcement learning approach to disco... more
Source: Biometrics
Authors Yufan Zhao, Donglin Zeng, Mark A. Socinski, Michael R. Kosorok
Institutions Amgen (United States), University of North Carolina at Chapel Hill
Cites: 27
Cited by: 200
Related to: 10
FWCI: 9.595
Citation percentile (by year/subfield): 96.36
Topic: Lung Cancer Treatments and Mutations
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Sustainable Development Goal Good health and well-being
Open Access status: green