3 papers
cs.LG2026
Insulin4RL: Real-Time Insulin Management in the Intensive Care Unit for Offline Reinforcement Learning
Thomas Frost, Steve Harris
Offline reinforcement learning (ORL) offers the potential to improve the quality of clinical decision-making using historical electronic health record (EHR) data. Current training…
cs.LG2026
The impact of temporal resampling on the safety of clinical reinforcement learning: A simulated trial
Thomas Frost, Hrisheekesh Vaidya, Steve Harris
Reinforcement learning (RL) is a type of artificial intelligence for making optimal choices. In healthcare, researchers generally use offline RL (ORL), where models are trained and…
cs.LG2024
Robust Real-Time Mortality Prediction in the Intensive Care Unit using Temporal Difference Learning
Thomas Frost, Kezhi Li, Steve Harris
The task of predicting long-term patient outcomes using supervised machine learning is a challenging one, in part because of the high variance of each patient's trajectory, which c…