Optimization of anemia treatment in hemodialysis patients via reinforcement learning
We use batch reinforcement learning for optimizing the treatment of renal anemia. The proposed method learns optimal treatments from medical records. A standard dose adjustment protocol is compared with the learned policy. Treatments are tailored according to the patients characteristics.
reinforcement learning renal anemia markov decision processes fitted q iteration chronic kidney disease darbepoietin alfa