61 citations · 97 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 29 cited
Deep Reinforcement Learning for Closed-Loop Blood Glucose Control
Ian Fox, Joyce Lee, Rodica Pop-Busui +1
People with type 1 diabetes (T1D) lack the ability to produce the insulin their bodies need. As a result, they must continually make decisions about how much insulin to self-admini…
cs.LG2018★ 61 cited
Deep Multi-Output Forecasting: Learning to Accurately Predict Blood Glucose Trajectories
Ian Fox, Lynn Ang, Mamta Jaiswal +2
In many forecasting applications, it is valuable to predict not only the value of a signal at a certain time point in the future, but also the values leading up to that point. This…
cs.LG2017★ 7 cited
Contextual Motifs: Increasing the Utility of Motifs using Contextual Data
Ian Fox, Lynn Ang, Mamta Jaiswal +2
Motifs are a powerful tool for analyzing physiological waveform data. Standard motif methods, however, ignore important contextual information (e.g., what the patient was doing at…