A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients

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Adaptive treatment of anemia on hemodialysis patients: A reinforcement learning approach (2011, background): “Some previous works of reinforcement learning techniques applied to anemia management have been published in [13] and [14].”
Reinforcement learning for closed-loop propofol anesthesia: a study in human volunteers (2014, background): “These applications support the assertion that reinforcement learning can serve as a “medical decision aid” (Mart́ın-Guerrero et al., 2009).”
POPCORN: Partially Observed Prediction COnstrained ReiNforcement Learning (2020, background): “…of POPCORN can be found online at https://github.com/dtak/POPCORN-POMDP, along with code to reproduce our experiments. sepsis (Komorowski et al., 2018; Raghu et al., 2017), mechanical ventilation (Prasad et al., 2017), HIV (Ernst et al., 2006), and dialysis (Martín-Guerrero et al., 2009).”
Learning from an expert (2016, methodology): “Previous works have addressed the reinforcement learning problem of anesthesia’s automation using the BiS (see e.g. [Martín-Guerrero et al., 2009], [Moore et al., 2014], [Nemati et al., 2016]).”
Optimization of anemia treatment in hemodialysis patients via reinforcement learning (2014, methodology): “In general, those methods used current and previous Hb levels, ESA doses, and other variables that describ the patient’s condition, in order to predict the next Hb leve.”