Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients

Machine learning prediction of severity and duration of hypoglycemic events in type 1 diabetes patients

We compare the performance of machine learning methods for building predictive models to estimate the expected characteristics of hypoglycemic or low blood glucose events in type 1 diabetes patients.  We hypothesize that the rate of change of blood glucose ahead of a hypoglycemic event may affect th...

Full description

Saved in:
Bibliographic Details
Main Authors: Annie Wu, Eashan Singh, Ivy Zhang, Anika Bilal, Anna Casu, Richard Pratley
Format: Article
Language:English
Published: LibraryPress@UF 2024-05-01
Series:Proceedings of the International Florida Artificial Intelligence Research Society Conference
Subjects:
machine learning
diabetes
hypoglycemia
decision tree
random forest
deep neural network
Online Access:https://journals.flvc.org/FLAIRS/article/view/135600
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://journals.flvc.org/FLAIRS/article/view/135600

Similar Items