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Investigation of the quality and effectiveness of telemedicine in children with diabetes

Studies in health technology and informatics, 2015, Vol.210, p.105

2015

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Model driven mobile care for patients with type 1 diabetes

Studies in health technology and informatics, 2012, Vol.180, p.1045

2012

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Glycaemic management in type 1 and 2 diabetes patients undergoing interventional cardiology procedures. Heart and Diabetes Working Group. Sociedad Espan˜ola de Cardiologı´a. Sociedad Espan˜ola de Diabetes

Medicina clinica, 2012, Vol.138 (5), p.207.e1

2012

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A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 Diabetes

2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), 2023, p.281-286

2023

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A Diabetes Self-Management Prototype in an AAL-Environment to Detect Remarkable Health States

Studies in health technology and informatics, 2016, Vol.223, p.273

2016

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iDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences

Studies in health technology and informatics, 2015, Vol.216, p.93

2015

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Perceptions and Experiences of Using Intermittently Scanned Continuous Glucose Monitoring among Youth Ages 13–20 Years with Type 1 Diabetes and Above Recommended HbA1c: A Qualitative Study

Medical sciences forum, 2023, Vol.18 (1), p.28

2023

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Diabetes: education more effective than drugs? Those who know more, live longer

MMW Fortschritte der Medizin, 2003, Vol.145 (20), p.14

Meissner, Thomas

2003

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7th EASD/JDRF Oxford Workshop. "New Frontiers in the Treatment and Prevention of Type 1 Diabetes and its Complications. Keble College, Oxford, 3-5 August 2002. European Association for the Study of Diabetes/Juvenile Diabetes Research Foundation

Diabetologia, 2002, Vol.45 (11), p.R70-R80

Horton, Antony

2002

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Letters to Medical Devices: A Case Study on the Medical Device User Requirements of Female Adolescents and Young Adults with Type 1 Diabetes

Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors, p.69-79

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Combining genetic algorithm and Levenberg-Marquardt algorithm in training neural network for hypoglycemia detection using EEG signals

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.5386-5389

2013

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IEEE_Xplore

An information and communication technology system to detect hypoglycemia in people with type 1 diabetes

Studies in health technology and informatics, 2013, Vol.192, p.38

2013

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Immune response to subcutaneous implants of alginate microcapsules

Materials today : proceedings, 2018, Vol.5 (7), p.15580-15585

2018

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Multilevel model based glucose control for type-1 diabetes patients

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013, Vol.2013, p.3917-3920

2013

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IEEE_Xplore

Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, Vol.2016, p.3503-3506

2016

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IEEE_Xplore

Postprandial blood glucose control in type 1 diabetes for carbohydrates with varying glycemic index foods

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014, Vol.2014, p.4835-4838

2014

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IEEE_Xplore

A Social Robot to Deliver an 8-Week Intervention for Diabetes Management: Initial Test of Feasibility in a Hospital Clinic

Social Robotics, 2020, p.628-639

2020

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Robust H Control for Type 1 Diabetes Model: A Switching System Approach

2018 37th Chinese Control Conference (CCC), 2018, p.2625-2630

2018

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IEEE_Xplore

Developing a model based on meal-detection in patients for type-1 diabetes using factorial switching Kalman filter

Materials today : proceedings, 2021, Vol.46, p.4190-4194

2021

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A Prediction Method for Blood Glucose Based on Grey Wolf optimization Evolving Kernel Extreme Learning Machine

2019 Chinese Control Conference (CCC), 2019, p.3000-3005

2019

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IEEE_Xplore

Towards Event-Trigger Impulsive MPC for the Treatment of T1DM Handling Limited Resources

Applied Computer Sciences in Engineering, p.180-189

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A Critique of Observers Used in the Context of Feedback Control

Intelligent Robotics and Applications, 2018, p.1-24

Goodwin, Graham C.

2018

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Using a Mobile App to Manage Type 1 Diabetes: The Case of TreC Diabetes

Proceedings of the 5th International Conference on digital health 2015, 2015, p.113-114

2015

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Glucose Regulation for Subjects with Type 1 Diabetes Using Active Disturbance Rejection Control

2019 Chinese Control Conference (CCC), 2019, p.6970-6975

2019

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IEEE_Xplore

Closed Loop Blood Glucose Regulation of Type 1 Diabetic Patient Using Takagi-Sugeno Fuzzy Logic Control

Soft Computing Applications, p.286-296

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Investigation of the quality and effectiveness of telemedicine in children with diabetes

Model driven mobile care for patients with type 1 diabetes

Glycaemic management in type 1 and 2 diabetes patients undergoing interventional cardiology procedures. Heart and Diabetes Working Group. Sociedad Espan˜ola de Cardiologı´a. Sociedad Espan˜ola de Diabetes

A Machine-Learning Framework based on Continuous Glucose Monitoring to Prevent the Occurrence of Exercise-Induced Hypoglycemia in Children with Type 1 Diabetes

A Diabetes Self-Management Prototype in an AAL-Environment to Detect Remarkable Health States

iDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences

Perceptions and Experiences of Using Intermittently Scanned Continuous Glucose Monitoring among Youth Ages 13–20 Years with Type 1 Diabetes and Above Recommended HbA1c: A Qualitative Study

Diabetes: education more effective than drugs? Those who know more, live longer

7th EASD/JDRF Oxford Workshop. "New Frontiers in the Treatment and Prevention of Type 1 Diabetes and its Complications. Keble College, Oxford, 3-5 August 2002. European Association for the Study of Diabetes/Juvenile Diabetes Research Foundation

Letters to Medical Devices: A Case Study on the Medical Device User Requirements of Female Adolescents and Young Adults with Type 1 Diabetes

Combining genetic algorithm and Levenberg-Marquardt algorithm in training neural network for hypoglycemia detection using EEG signals

An information and communication technology system to detect hypoglycemia in people with type 1 diabetes

Immune response to subcutaneous implants of alginate microcapsules

Multilevel model based glucose control for type-1 diabetes patients

Deep learning framework for detection of hypoglycemic episodes in children with type 1 diabetes

Postprandial blood glucose control in type 1 diabetes for carbohydrates with varying glycemic index foods

A Social Robot to Deliver an 8-Week Intervention for Diabetes Management: Initial Test of Feasibility in a Hospital Clinic

Robust H Control for Type 1 Diabetes Model: A Switching System Approach

Developing a model based on meal-detection in patients for type-1 diabetes using factorial switching Kalman filter

A Prediction Method for Blood Glucose Based on Grey Wolf optimization Evolving Kernel Extreme Learning Machine

Towards Event-Trigger Impulsive MPC for the Treatment of T1DM Handling Limited Resources

A Critique of Observers Used in the Context of Feedback Control

Using a Mobile App to Manage Type 1 Diabetes: The Case of TreC Diabetes

Glucose Regulation for Subjects with Type 1 Diabetes Using Active Disturbance Rejection Control

Closed Loop Blood Glucose Regulation of Type 1 Diabetic Patient Using Takagi-Sugeno Fuzzy Logic Control

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