Download PDFOpen PDF in browser

Artificial Intelligence & Machine Learning for Effective Management of Blood Glucose Levels in Patients with Type 1 Diabetes

EasyChair Preprint no. 5821

4 pagesDate: June 17, 2021

Abstract

Looking back at the history of type 1 diabetes and the development in technology since the 1960’s, the application of artificial intelligence and machine learning capabilities has vastly increased. It is amazing to see developments that have come to light so far that are have real world application and are currently assisting diabetic patients. The purpose of this paper is to outline how artificial intelligence and machine learning capabilities have greatly improved the management of blood glucose levels and insulin management and in patients diagnosed with Type 1 Diabetes.

Keyphrases: Artificial Intelligence, Diabetes, hybrid closed loop system, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:5821,
  author = {David Hart},
  title = {Artificial Intelligence & Machine Learning for Effective Management of Blood Glucose Levels in Patients with Type 1 Diabetes},
  howpublished = {EasyChair Preprint no. 5821},

  year = {EasyChair, 2021}}
Download PDFOpen PDF in browser