Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning

J. Alvarado, J. Manuel Velasco, F. Chávez, J. Ignacio Hidalgo, F. Fernández de Vega
3/30/2023
cs.LGcs.CY

No confident code implementation found for this paper.

Abstract

People with diabetes have to manage their blood glucose level to keep it within an appropriate range. Predicting whether future glucose values will be outside the healthy threshold is of vital importance in order to take corrective actions to avoid potential health damage. In this paper we describe our research with the aim of predicting the future behavior of blood glucose levels, so that hypoglycemic events may be anticipated. The approach of this work is the application of transformation functions on glucose time series, and their use in convolutional neural networks. We have tested our proposed method using real data from 4 different diabetes patients with promising results.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning

87% match1 repo12025

Diabetes detection using deep learning techniques with oversampling and feature augmentation

84% match2024

Machine Learning based prediction of Glucose Levels in Type 1 Diabetes Patients with the use of Continuous Glucose Monitoring Data

84% match1 repo112023

Hybrid Attention Model Using Feature Decomposition and Knowledge Distillation for Glucose Forecasting

84% match1 repo12024

Deep Learning-Based Hypoglycemia Classification Across Multiple Prediction Horizons

84% match2025

Tailoring Adverse Event Prediction in Type 1 Diabetes with Patient-Specific Deep Learning Models

84% match2026

Cite this paper

@article{alvarado2023patterns,
  title  = {Patterns Detection in Glucose Time Series by Domain Transformations and Deep Learning},
  author = {J. Alvarado and J. Manuel Velasco and F. Chávez and J. Ignacio Hidalgo and F. Fernández de Vega},
  year   = {2023},
  eprint = {2303.17616},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.17616v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2303.17616.svg)](https://codeofpaper.com/paper/2303.17616)

Discussion