4 citations · 4 across the 1 of their papers we have counts for
3 papers
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy
Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
The existing adaptive basal-bolus advisor (ABBA) was further developed to benefit patients under insulin therapy with multiple daily injections (MDI). Three different in silico exp…
A dual mode adaptive basal-bolus advisor based on reinforcement learning
Qingnan Sun, Marko V. Jankovic, João Budzinski +4
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The proposed…
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network
Qingnan Sun, Marko V. Jankovic, Lia Bally +1
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia. A seq…