Figure 2
From: Optimizing warfarin dosing for patients with atrial fibrillation using machine learning
Comparison of clinician, reinforcement learning (RL), and benchmark policies. The figure illustrates clinician, benchmark algorithm and RL policies using heatmaps, where the X axis illustrates INR result bins, and the Y axis illustrates the distribution of dose recommendations within each INR result bin. On average, the RL policy recommends larger dose changes in the context of very high and very low INR values than either the clinician or benchmark policies.
