Optimization of glucocorticoid administration in patients with sepsis using reinforcement learning: a multicenter retrospective study
Background The use of glucocorticoids in sepsis remains controversial due to heterogeneous treatment responses across patient populations. More individualized treatment strategies are needed to guide glucocorticoid administration. Methods An offline reinforcement learning (RL) model was developed using the MIMIC-IV dat...