A Reinforcement Learning-Based Method for Management of Type 1 Diabetes: Exploratory Study.

Mahsa Oroojeni Mohammad Javad Stephen Olusegun Agboola Kamal Jethwani Abe Zeid Sagar Kamarthi

Published in: JMIR diabetes (2019)

This exploratory study demonstrates that an RL algorithm can be used to recommend personalized insulin doses to achieve adequate glycemic control in patients with T1DM. However, further investigation in a larger sample of patients is needed to confirm these findings.

Keyphrases

glycemic control
type diabetes
end stage renal disease
cardiovascular disease
weight loss
chronic kidney disease
machine learning
peritoneal dialysis
metabolic syndrome
adipose tissue
patient reported