Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – A systematic literature review

Adaptive Boosting Based Personalized Glucose Monitoring System (PGMS) for Non-Invasive Blood Glucose Prediction with Improved Accuracy

(2020) Pradeep Kumar Anand et al.   Diagnostics

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

Risk-based postprandial hypoglycemia forecasting using supervised learning

(2019) Silvia Oviedo et al.   INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS

Glucose forecasting combining Markov chain based enrichment of data, random grammatical evolution and Bagging

(2019) J. Ignacio Hidalgo et al.   APPLIED SOFT COMPUTING

Prediction of blood glucose concentration for type 1 diabetes based on echo state networks embedded with incremental learning

(2019) Ning Li et al.   NEUROCOMPUTING

Risk prediction for severe hypoglycemia in a type 2 diabetes population with previous non-severe hypoglycemia

(2019) Anita D. Misra-Hebert et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Convolutional Recurrent Neural Networks for Glucose Prediction

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

Accurate prediction of continuous blood glucose based on support vector regression and differential evolution algorithm

(2018) Takoua Hamdi et al.   Biocybernetics and Biomedical Engineering

Continuous blood glucose level prediction of Type 1 Diabetes based on Artificial Neural Network

(2018) Jaouher Ben Ali et al.   Biocybernetics and Biomedical Engineering

Model-fusion-based online glucose concentration predictions in people with type 1 diabetes

(2018) Xia Yu et al.   CONTROL ENGINEERING PRACTICE

Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal

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

An ARIMA Model with Adaptive Orders for Predicting Blood Glucose Concentrations and Hypoglycemia

(2018) Jun Yang et al.   IEEE Journal of Biomedical and Health Informatics

Predicting the 6-month risk of severe hypoglycemia among adults with diabetes: Development and external validation of a prediction model

(2017) Emily B. Schroeder et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods

(2017) J. Ignacio Hidalgo et al.   JOURNAL OF MEDICAL SYSTEMS

Prediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application

(2016) Pavlo Tkachenko et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Clinical Safety and Feasibility of the Advanced Bolus Calculator for Type 1 Diabetes Based on Case-Based Reasoning: A 6-Week Nonrandomized Single-Arm Pilot Study

(2016) Monika Reddy et al.   Diabetes Technology & Therapeutics

A Nonlinear Blind Identification Approach to Modeling of Diabetic Patients

(2016) C. Novara et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A review of personalized blood glucose prediction strategies for T1DM patients

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

Subspace-based linear multi-step predictors in type 1 diabetes mellitus

(2015) Marzia Cescon et al.   Biomedical Signal Processing and Control

Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models

(2015) Eleni I. Georga et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring

(2015) K. Zarkogianni et al.   MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING

Online prediction of subcutaneous glucose concentration for type 1 diabetes using empirical models and frequency-band separation

(2013) Chunhui Zhao et al.   AICHE JOURNAL

The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration

(2009) Alessandro Liberati et al.   PLOS MEDICINE

Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement

(2009) David Moher et al.   PLOS MEDICINE

JDRF Randomized Clinical Trial to Assess the Efficacy of Real-Time Continuous Glucose Monitoring in the Management of Type 1 Diabetes: Research Design and Methods

(2008)   Diabetes Technology & Therapeutics