loading page

Prediction of Nocturnal Hypogycaemia in Adults with Type 1 Diabetes using Machine Learning Classifiers
  • +3
  • Ioannis Afentakis ,
  • Rebecca Unsworth ,
  • Pau Herrero ,
  • Nick Oliver ,
  • Monica Reddy ,
  • Pantelis Georgiou
Ioannis Afentakis
Imperial College London, Imperial College London

Corresponding Author:[email protected]

Author Profile
Rebecca Unsworth
Author Profile
Pau Herrero
Author Profile
Nick Oliver
Author Profile
Monica Reddy
Author Profile
Pantelis Georgiou
Author Profile

Abstract

1st dataset
  • 6-months randomized controlled, cross-over study
  • 37 participants wearing CGM sensors and using MDI regimen
  • smartphone app where to record administered insulin and meal macronutrient information
  • diagnosed with T1D for more than 3 years
\tightlist
2nd dataset
head-to-head glucose monitoring study, comparing CGM and flash glucose monitoring
40 high- risk adult participants using MDI for their insulin treatment
\tightlist