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Studies in Health Technology and Informatics
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August 23, 2024
Collaborative Care Interventions for Patients with Multimorbidity: Protocol for a Systematic Review and Meta-Analysis with Preliminary Results
Anne-Maj Knudsen, Ann-Cathrine D Dunvald, Stine Hangaard, et al.
JMIR Research Protocols
|
August 8, 2024
The Effectiveness of Collaborative Care Interventions for the Management of Patients With Multimorbidity: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression Analysis
Anne-Maj Knudsen, Ann-Cathrine Dalgård Dunvald, Stine Hangaard, et al.
International Journal of Medical Informatics
|
March 11, 2026
Development of a complex digital lifestyle intervention for individuals with prediabetes - Using the Medical research Council (MRC) framework
Tanja Fredensborg Holm, Pernille Frøstrup Barington, Thomas Kronborg, et al.
International Journal of Medical Informatics
|
January 9, 2025
Developing an AI-Based clinical decision support system for basal insulin titration in type 2 diabetes in primary Care: A Mixed-Methods evaluation using heuristic Analysis, user Feedback, and eye tracking
Camilla Heisel Nyholm Thomsen, Thomas Kronborg, Stine Hangaard, et al.
Studies in Health Technology and Informatics
|
August 23, 2024
Identifying Patterns in Long Term CGM and Insulin Data - An Explorative Study
Iben E Giese, Morten H Jensen, Thomas Kronborg, et al.
Journal of Diabetes Science and Technology
|
November 28, 2023
Prediction of Hypoglycemia From Continuous Glucose Monitoring in Insulin-Treated Patients With Type 2 Diabetes Using Transfer Learning on Type 1 Diabetes Data: A Deep Transfer Learning Approach
Helene B Thomsen, Mike M Jakobsen, Nikolaj Hecht-Pedersen, et al.
Journal of Diabetes Science and Technology
|
September 21, 2024
Prediction of People With Type 2 Diabetes Not Achieving HbA1c Target After Initiation of Fast-Acting Insulin Therapy: Using Machine Learning Framework on Clinical Trial Data
Carsten Wridt Stoltenberg, Stine Hangaard, Ole Hejlesen, et al.
Frontiers in Artificial Intelligence
|
May 18, 2026
Prediction of infection in the emergency department-a machine learning model
Sara N Søgaard, Helene Skjøt-Arkil, Christian Backer Mogensen, et al.
Journal of Diabetes Science and Technology
|
December 23, 2022
Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, et al.
Diabetes Technology & Therapeutics
|
September 2, 2025
Biases in Glucose Metrics Are Directly Related to Low Coverage of Continuous Glucose Monitoring: Insights from Diverse Populations
Simon Lebech Cichosz, Niels Væver Hartvig, Thomas Kronborg, et al.
Page
of 5
Search research articles
Search
Showing results (21-30 of 50) with videos related to
Sort By:
Page
of 5
Studies in Health Technology and Informatics
|
August 23, 2024
Collaborative Care Interventions for Patients with Multimorbidity: Protocol for a Systematic Review and Meta-Analysis with Preliminary Results
Anne-Maj Knudsen, Ann-Cathrine D Dunvald, Stine Hangaard, et al.
JMIR Research Protocols
|
August 8, 2024
The Effectiveness of Collaborative Care Interventions for the Management of Patients With Multimorbidity: Protocol for a Systematic Review, Meta-Analysis, and Meta-Regression Analysis
Anne-Maj Knudsen, Ann-Cathrine Dalgård Dunvald, Stine Hangaard, et al.
International Journal of Medical Informatics
|
March 11, 2026
Development of a complex digital lifestyle intervention for individuals with prediabetes - Using the Medical research Council (MRC) framework
Tanja Fredensborg Holm, Pernille Frøstrup Barington, Thomas Kronborg, et al.
International Journal of Medical Informatics
|
January 9, 2025
Developing an AI-Based clinical decision support system for basal insulin titration in type 2 diabetes in primary Care: A Mixed-Methods evaluation using heuristic Analysis, user Feedback, and eye tracking
Camilla Heisel Nyholm Thomsen, Thomas Kronborg, Stine Hangaard, et al.
Studies in Health Technology and Informatics
|
August 23, 2024
Identifying Patterns in Long Term CGM and Insulin Data - An Explorative Study
Iben E Giese, Morten H Jensen, Thomas Kronborg, et al.
Journal of Diabetes Science and Technology
|
November 28, 2023
Prediction of Hypoglycemia From Continuous Glucose Monitoring in Insulin-Treated Patients With Type 2 Diabetes Using Transfer Learning on Type 1 Diabetes Data: A Deep Transfer Learning Approach
Helene B Thomsen, Mike M Jakobsen, Nikolaj Hecht-Pedersen, et al.
Journal of Diabetes Science and Technology
|
September 21, 2024
Prediction of People With Type 2 Diabetes Not Achieving HbA1c Target After Initiation of Fast-Acting Insulin Therapy: Using Machine Learning Framework on Clinical Trial Data
Carsten Wridt Stoltenberg, Stine Hangaard, Ole Hejlesen, et al.
Frontiers in Artificial Intelligence
|
May 18, 2026
Prediction of infection in the emergency department-a machine learning model
Sara N Søgaard, Helene Skjøt-Arkil, Christian Backer Mogensen, et al.
Journal of Diabetes Science and Technology
|
December 23, 2022
Time for Using Machine Learning for Dose Guidance in Titration of People With Type 2 Diabetes? A Systematic Review of Basal Insulin Dose Guidance
Camilla Heisel Nyholm Thomsen, Stine Hangaard, Thomas Kronborg, et al.
Diabetes Technology & Therapeutics
|
September 2, 2025
Biases in Glucose Metrics Are Directly Related to Low Coverage of Continuous Glucose Monitoring: Insights from Diverse Populations
Simon Lebech Cichosz, Niels Væver Hartvig, Thomas Kronborg, et al.
Page
of 5