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

Journal of medical Internet research, 2019-05, Vol.21 (5), p.e11030-e11030

2019

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The COVID-19 Pandemic Revealed the Importance and Shortcomings of Technologies for Diabetes Support

Journal of diabetes science and technology, 2020-07, Vol.14 (4), p.712-713

Årsand, Eirik

2020

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Social Media Use in Interventions for Diabetes: Rapid Evidence-Based Review

Journal of medical Internet research, 2018-08, Vol.20 (8), p.e10303-e10303

2018

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How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

BMC health services research, 2020-11, Vol.20 (1), p.1104-1104, Article 1104

2020

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

Artificial intelligence in medicine, 2019-07, Vol.98, p.109-134

2019

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Lifestyle changes among people with type 2 diabetes are associated with participation in online groups and time since diagnosis

BMC health services research, 2021-07, Vol.21 (1), p.1-688, Article 688

2021

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Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines

Journal of medical Internet research, 2011-09, Vol.13 (3), p.e65-e65

2011

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Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation

Journal of biomedical informatics, 2019-03, Vol.91, p.103110-103110, Article 103110

2019

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Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review

Journal of medical Internet research, 2020-07, Vol.22 (7), p.e18480-e18480

2020

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Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study

Journal of medical Internet research, 2020-09, Vol.22 (9), p.e21204-e21204

2020

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Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study

Journal of diabetes science and technology, 2015-05, Vol.9 (3), p.556-563

2015

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Functionalities and input methods for recording food intake: A systematic review

International journal of medical informatics (Shannon, Ireland), 2013-08, Vol.82 (8), p.653-664

2013

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Collecting health-related research data using consumer-based wireless smart scales

International journal of medical informatics (Shannon, Ireland), 2023-05, Vol.173, p.105043-105043, Article 105043

2023

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Mobile Health: empowering patients and driving change

Trends in endocrinology and metabolism, 2015-03, Vol.26 (3), p.114-117

2015

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Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study

Journal of medical Internet research, 2019-04, Vol.21 (4), p.e13678-e13678

2019

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Analysing mHealth usage logs in RCTs: Explaining participants' interactions with type 2 diabetes self-management tools

PloS one, 2018-08, Vol.13 (8), p.e0203202-e0203202

2018

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Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study

Journal of medical Internet research, 2019-03, Vol.21 (3), p.e13465-e13465

2019

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Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems

International journal of medical informatics (Shannon, Ireland), 2020-01, Vol.133, p.104017-104017, Article 104017

2020

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Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study

Journal of medical Internet research, 2018-11, Vol.20 (11), p.e11322-e11322

2018

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Health Research Requires Efficient Platforms for Data Collection from Personal Devices

Studies in health technology and informatics, 2023-05, Vol.302, p.841

2023

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Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes

Journal of diabetes science and technology, 2015-05, Vol.9 (3), p.541-548

2015

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Privacy Concerns Related to Data Sharing for European Diabetes Devices

Journal of diabetes science and technology, 2023-11, p.19322968231210548-19322968231210548

2023

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Mobile health applications to assist patients with diabetes: lessons learned and design implications

Journal of diabetes science and technology, 2012-09, Vol.6 (5), p.1197-1206

2012

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Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study

Journal of medical Internet research, 2012-08, Vol.14 (4), p.e111-e111

2012

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A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

Journal of medical Internet research, 2020-08, Vol.22 (8), p.e18912

2020

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

The COVID-19 Pandemic Revealed the Importance and Shortcomings of Technologies for Diabetes Support

Social Media Use in Interventions for Diabetes: Rapid Evidence-Based Review

How mHealth can facilitate collaboration in diabetes care: qualitative analysis of co-design workshops

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

Lifestyle changes among people with type 2 diabetes are associated with participation in online groups and time since diagnosis

Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines

Employing a user-centered cognitive walkthrough to evaluate a mHealth diabetes self-management application: A case study and beginning method validation

Methods and Evaluation Criteria for Apps and Digital Interventions for Diabetes Self-Management: Systematic Review

Factors Engaging Users of Diabetes Social Media Channels on Facebook, Twitter, and Instagram: Observational Study

Performance of the First Combined Smartwatch and Smartphone Diabetes Diary Application Study

Functionalities and input methods for recording food intake: A systematic review

Collecting health-related research data using consumer-based wireless smart scales

Mobile Health: empowering patients and driving change

Use of Electronic Health and Its Impact on Doctor-Visiting Decisions Among People With Diabetes: Cross-Sectional Study

Analysing mHealth usage logs in RCTs: Explaining participants' interactions with type 2 diabetes self-management tools

Associations Between the Use of eHealth and Out-of-Hours Services in People With Type 1 Diabetes: Cross-Sectional Study

Wearable sensors with possibilities for data exchange: Analyzing status and needs of different actors in mobile health monitoring systems

Relations Between the Use of Electronic Health and the Use of General Practitioner and Somatic Specialist Visits in Patients With Type 1 Diabetes: Cross-Sectional Study

Health Research Requires Efficient Platforms for Data Collection from Personal Devices

Integrating Visual Dietary Documentation in Mobile-Phone-Based Self-Management Application for Adolescents With Type 1 Diabetes

Privacy Concerns Related to Data Sharing for European Diabetes Devices

Mobile health applications to assist patients with diabetes: lessons learned and design implications

Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study

A Novel Approach for Continuous Health Status Monitoring and Automatic Detection of Infection Incidences in People With Type 1 Diabetes Using Machine Learning Algorithms (Part 2): A Personalized Digital Infectious Disease Detection Mechanism

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