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Stochastic SIR-based Examination of the Policy Effects on the COVID-19 Spread in the U.S. States
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
Since the global outbreak of the novel COVID-19, many research groups have studied the epidemiology of the virus for short-term forecasts and to formulate the effective disease containment and mitigation strategies. The ...
Optimal Dynamic Treatment Regime by Reinforcement Learning in Clinical Medicine
(The UTSA Journal of Undergraduate Research and Scholarly Work;Volume 7, 2020-12)
Precision medicine allows personalized treatment regime for patients with distinct clinical history and characteristics. Dynamic treatment regime implements a reinforcement learning algorithm to produce the optimal ...