Patient-specific blood glucose prediction using deep learning, considering the challenges of "small dataset" and "data imbalance"
-
Updated
Dec 6, 2022 - Python
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."
Benchmark of glucose predictive models in diabetes
"Personalised Short-Term Glucose Prediction via Recurrent Self-Attention Network" in CBMS 2021
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
The official implementation of the paper "GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks."
Machine learning web app to predict user glucose levels
"Jointly Predicting Postprandial Hypoglycemia and Hyperglycemia Using Continuous Glucose Monitoring Data in Type 1 Diabetes" in EMBC 2023
Add a description, image, and links to the glucose-prediction topic page so that developers can more easily learn about it.
To associate your repository with the glucose-prediction topic, visit your repo's landing page and select "manage topics."