Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes

Title
Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes
Authors
Keywords
Type 1 diabetes, Blood glucose dynamics, Blood glucose level prediction, Machine learning
Journal
ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume -, Issue -, Pages -
Publisher
Elsevier BV
Online
2019-07-26
DOI
10.1016/j.artmed.2019.07.007

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started