Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"

Source code for predicting Blood Glucose Concentration

The official implementation of the paper "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification."

GluPredKit aims to make blood glucose model training and prediction more accessible.

The official implementation of the paper "GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks."

"Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network" in CBMS 2021

Benchmark of glucose predictive models in diabetes

Implementation of architecture for 2020 OhioT1D competition submission. Includes weights from pre-training runs with Tidepool data set. Baseline architecture is N-BEATS, modifications include RNN/shared output blocks, additional Losses. https://folk.idi.ntnu.no/kerstinb/kdh/KDH_ECAI_2020_Proceedings.pdf

"Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes" in EMBC 2023

Machine learning web app to predict user glucose levels

Cherry; a moonshot program to monitor, read, and predict blood glucose or interstitial fluids from the eyes

Simulation tool for modeling and analyzing the dynamics of glucose and insulin in diabetic subjects.

Data Science Project - Predicting glucose levels with data collected by non-invasive wearable device

Applying deep learning to glucose prediction