Fig. 1
From: Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus
Modeling approach for reinforcement learning and off-policy evaluation. The historical cohort dataset consists of patients (1), whose state, i.e., longitudinal and demographic information is measured (2). Given these measurements, the risk to the patient progressing to cirrhosis is then evaluated (3). Finally, following the usual care treatment policy (4), a clinician makes a treatment decision (5) for the patient. The cycle then continues until the patient no longer returns for follow-up or the follow-up period concludes