Source code for predicting Blood Glucose Concentration

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."

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

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

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.

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

This repo contains a machine learning pipeline for predicting glucose levels using wearable sensor data, food logs, and demographic information. This project implements both personalized and population-based models using XGBoost with Random Forest feature selection.

Thie is the repository for preprocessing the D1NAMO dataset

Applying deep learning to glucose prediction

Moonshot to measure blood glucose from your eyes