Optimizing Medical Treatment for Sepsis in Intensive Care: from Reinforcement Learning to Pre-Trial Evaluation

no code implementations • 13 Mar 2020 • Luchen Li, Ignacio Albert-Smet, Aldo A. Faisal

Our aim is to establish a framework where reinforcement learning (RL) of optimizing interventions retrospectively allows us a regulatory compliant pathway to prospective clinical testing of the learned policies in a clinical deployment.

Reinforcement Learning (RL)