Insulin Regimen ML-based control for T2DM patients

no code implementations • 21 Oct 2017 • Mark Shifrin, Hava Siegelmann

\begin{abstract} We model individual T2DM patient blood glucose level (BGL) by stochastic process with discrete number of states mainly but not solely governed by medication regimen (e. g. insulin injections).

Model-based Reinforcement Learning Reinforcement Learning (RL)