Data-Driven Blood Glucose Pattern Classification and Anomalies Detection: Machine-Learning Applications in Type 1 Diabetes

Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

(2018) Ivan Contreras et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Chaotic time series prediction for glucose dynamics in type 1 diabetes mellitus using regime-switching models

(2017) Mirela Frandes et al.   Scientific Reports

The global economic burden of diabetes in adults aged 20–79 years: a cost-of-illness study

(2017) Christian Bommer et al.   Lancet Diabetes & Endocrinology

A review of personalized blood glucose prediction strategies for T1DM patients

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

Non-invasive hypoglycemia monitoring system using extreme learning machine for Type 1 diabetes

(2016) Sai Ho Ling et al.   ISA TRANSACTIONS

Hypoglycemia detection: multiple regression-based combinational neural logic approach

(2015) Sai Ho Ling et al.   SOFT COMPUTING

Glycemic Variability: How Do We Measure It and Why Is It Important?

(2015) Sunghwan Suh et al.   Diabetes & Metabolism Journal

Hypoglycaemia detection using fuzzy inference system with intelligent optimiser

(2014) J.C.Y. Lai et al.   APPLIED SOFT COMPUTING

Real-Time Hypoglycemia Detection from Continuous Glucose Monitoring Data of Subjects with Type 1 Diabetes

(2013) Morten Hasselstrøm Jensen et al.   Diabetes Technology & Therapeutics

A Glucose Model Based on Support Vector Regression for the Prediction of Hypoglycemic Events Under Free-Living Conditions

(2013) Eleni I. Georga et al.   Diabetes Technology & Therapeutics

Automatic detection of anomalies in blood glucose using a machine learning approach

(2013) Ying Zhu   JOURNAL OF COMMUNICATIONS AND NETWORKS

Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges

(2013) Hadi Banaee et al.   SENSORS

Evolvable Rough-Block-Based Neural Network and its Biomedical Application to Hypoglycemia Detection System

(2013) Phyo Phyo San et al.   IEEE Transactions on Cybernetics

Natural occurrence of nocturnal hypoglycemia detection using hybrid particle swarm optimized fuzzy reasoning model

(2012) Sai Ho Ling et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

Increased Mortality of Patients With Diabetes Reporting Severe Hypoglycemia

(2012) R. G. McCoy et al.   DIABETES CARE

Diabetes and Infection: Is There a Link? - A Mini-Review

(2012) Sylvia Knapp   GERONTOLOGY

Industrial Application of Evolvable Block-Based Neural Network to Hypoglycemia Monitoring System

(2012) Phyo Phyo San et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Hybrid PSO-based variable translation wavelet neural network and its application to hypoglycemia detection system

(2012) Phyo Phyo San et al.   NEURAL COMPUTING & APPLICATIONS

Electrocardiographic Signals and Swarm-Based Support Vector Machine for Hypoglycemia Detection

(2011) Nuryani Nuryani et al.   ANNALS OF BIOMEDICAL ENGINEERING

Diagnosis of hypoglycemic episodes using a neural network based rule discovery system

(2011) K.Y. Chan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Genetic-Algorithm-Based Multiple Regression With Fuzzy Inference System for Detection of Nocturnal Hypoglycemic Episodes

(2011) S S H Ling et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

Review and Analysis of Blood Glucose (BG) Models for Type 1 Diabetic Patients

(2011) Naviyn Prabhu Balakrishnan et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS