Continuous Glucose Monitoring Prediction
Reviewed by Pithpith:UFCNP4OYopen to challenge →
classification
q-bio.OT
cs.LG
keywords
continuousdiabetesdevelopedglucosemealmonitoringpredictionadult
read the original abstract
Diabetes is one of the deadliest diseases in the world and affects nearly 10 percent of the global adult population. Fortunately, powerful new technologies allow for a consistent and reliable treatment plan for people with diabetes. One major development is a system called continuous blood glucose monitoring (CGM). In this review, we look at three different continuous meal detection algorithms that were developed using given CGM data from patients with diabetes. From this analysis, an initial meal prediction algorithm was also developed utilizing these methods.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.