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

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

Source code for predicting Blood Glucose Concentration

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

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

"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

Thie is the repository for preprocessing the D1NAMO dataset

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

Machine learning web app to predict user glucose levels

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

Reproducible ML pipeline for short-term blood glucose prediction in Type 1 Diabetes.

Deep Learning for Continuous Glucose Monitoring Prediction — Temporal Fusion Transformer, Clarke Error Grid analysis, hypoglycemia prevention for Abbott Libre/Medtronic MiniMed

🧬 Predicts glucose levels using R Shiny and linear regression on health data

Free and open-source Dexcom desktop app with notifications, trends, and Nightscout support

Non-invasive glucose monitoring using ECG signal analysis and machine learning for diabetes management research