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We develop an off-policy actor–critic algorithm for learning an optimal policy from a training set composed of data from multiple individuals. This algorithm is developed with a view toward its use in mobile health.
Hepatocellular carcinoma (HCC) is the fifth most common cancer type worldwide and the third leading cause of cancer-associated mortality. To date, its pathogenesis has remained poorly understood. Previous studies have demonstrated that deregulated microRNA (miR) participates in hepatocarcinogenesis. In the present study, miR-218 and miR-520a were observed… (More)
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