Personalized Blood Glucose Prediction for Type 1 Diabetes Using Evidential Deep Learning and Meta-Learning

IoMT-Enabled Real-time Blood Glucose Prediction with Deep Learning and Edge Computing

(2022) Taiyu Zhu et al.   IEEE Internet of Things Journal

Quantifying the impact of physical activity on future glucose trends using machine learning

(2022) Nichole S. Tyler et al.   iScience

Enhancing self-management in type 1 diabetes with wearables and deep learning

(2022) Taiyu Zhu et al.   npj Digital Medicine

Physical Activity and Psychological Stress Detection and Assessment of Their Effects on Glucose Concentration Predictions in Diabetes Management

(2021) Mert Sevil et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Deep transfer learning and data augmentation improve glucose levels prediction in type 2 diabetes patients

(2021) Yixiang Deng et al.   npj Digital Medicine

Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example

(2021) Clara Mosquera-Lopez et al.   Journal of diabetes science and technology

MULTI-HOUR BLOOD GLUCOSE PREDICTION IN T1D: A PATIENT-SPECIFIC APPROACH USING SHALLOW NEURAL NETWORK MODELS

(2020) Taisa Kushner et al.   Diabetes Technology & Therapeutics

Robust determination of the optimal continuous glucose monitoring length of intervention to evaluate long-term glycaemic control

(2020) Pau Herrero et al.   Diabetes Technology & Therapeutics

An Insulin Bolus Advisor for Type 1 Diabetes Using Deep Reinforcement Learning

(2020) Taiyu Zhu et al.   SENSORS

Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An In Silico Validation

(2020) Taiyu Zhu et al.   IEEE Journal of Biomedical and Health Informatics

MetaSleepLearner: A Pilot Study on Fast Adaptation of Bio-Signals-Based Sleep Stage Classifier to New Individual Subject Using Meta-Learning

(2020) Nannapas Banluesombatkul et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning for Diabetes: A Systematic Review

(2020) Taiyu Zhu et al.   IEEE Journal of Biomedical and Health Informatics

Attention in Natural Language Processing

(2020) Andrea Galassi et al.   IEEE Transactions on Neural Networks and Learning Systems

Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes

(2019) Ashenafi Zebene Woldaregay et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Prediction and prevention of hypoglycaemic events in type-1 diabetic patients using machine learning

(2019) Josep Vehí et al.   Health Informatics Journal

WITHDRAWN: Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition

(2019) Pouya Saeedi et al.   DIABETES RESEARCH AND CLINICAL PRACTICE

Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal

(2019) Chengyuan Liu et al.   SENSORS

Therapy-driven Deep Glucose Forecasting

(2019) Eleonora Maria Aiello et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

GluNet: A Deep Learning Framework for Accurate Glucose Forecasting

(2019) Kezhi Li et al.   IEEE Journal of Biomedical and Health Informatics

Convolutional Recurrent Neural Networks for Glucose Prediction

(2019) Kezhi Li et al.   IEEE Journal of Biomedical and Health Informatics

CausalBG: Causal Recurrent Neural Network for the Blood Glucose Inference With IoT Platform

(2019) Miao He et al.   IEEE Internet of Things Journal

Hypoglycemia

(2018) Jean-François Yale et al.   Canadian Journal of Diabetes

Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal

(2018) Matteo Gadaleta et al.   IEEE Journal of Biomedical and Health Informatics

Deep Learning for Health Informatics

(2017) Daniele Ravi et al.   IEEE Journal of Biomedical and Health Informatics

Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities

(2016) David Rodbard   Diabetes Technology & Therapeutics

A review of personalized blood glucose prediction strategies for T1DM patients

(2016) Silvia Oviedo et al.   International Journal for Numerical Methods in Biomedical Engineering

The changing face of diabetes complications

(2016) Edward W Gregg et al.   Lancet Diabetes & Endocrinology

Deep learning

(2015) Yann LeCun et al.   NATURE

The Diabetes Assistant: A Smartphone-Based System for Real-Time Control of Blood Glucose

(2014) Patrick Keith-Hynes et al.   Electronics

Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial

(2013) Morwenna Kirwan et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

A Glucose-Specific Metric to Assess Predictors and Identify Models

(2012) S. Del Favero et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Design of an mHealth App for the Self-management of Adolescent Type 1 Diabetes: A Pilot Study

(2012) Joseph A Cafazzo et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression

(2012) E. I. Georga et al.   IEEE Journal of Biomedical and Health Informatics

Continuous Glucose Monitoring and Intensive Treatment of Type 1 Diabetes

(2008)   NEW ENGLAND JOURNAL OF MEDICINE