The outputs are the treatment options or drug dosages for every stage of the patient’s journey. The input is a set of clinical observations and assessments of a patient. Reinforcement learning can be used to create personalized treatment strategies, known as dynamic treatment regimes (DTRs), for patients with long-term illnesses.
Some real-life applications of reinforcement learning include:
