Thomas Kronborg

According to our database, Thomas Kronborg authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

Development of a complex digital lifestyle intervention for individuals with prediabetes - Using the Medical research Council (MRC) framework.

Tanja F. Holm, Pernille Frøstrup Barington, Thomas Kronborg, Morten Hasselstrøm Jensen, Stine Veje Hangaard

Int. J. Medical Informatics, 2026

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 Veje Hangaard, Peter Vestergaard, Morten Hasselstrøm Jensen

Int. J. Medical Informatics, 2025

Modeling the fasting blood glucose response to basal insulin adjustment in type 2 diabetes: An explainable machine learning approach on real-world data.

Camilla Heisel Nyholm Thomsen, Thomas Kronborg, Stine Veje Hangaard, Peter Vestergaard, Ole K. Hejlesen, Morten Hasselstrøm Jensen

Int. J. Medical Informatics, 2025

2024

Intelligent Diabetes Telemonitoring for Patients on Insulin Therapy: A Randomized Controlled Trial Protocol.

Camilla Heisel Nyholm Thomsen, Jannie T. D. Nørlev, Stine Veje Hangaard, Morten Hasselstrøm Jensen, Sika N. S. Kristensen, Tinna B. Aradóttir, Peter Vestergaard, Ole K. Hejlesen, Thomas Kronborg

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Development of a Basal Insulin Titration System to Support Healthcare Providers in Treatment of People with Type 2 Diabetes: Preliminary Results.

Camilla Heisel Nyholm Thomsen, Stine Veje Hangaard, Thomas Kronborg, Peter Vestergaard, Ole K. Hejlesen, Morten Hasselstrøm Jensen

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Detailed Insights into Basal Insulin Adherence in People with Type 2 Diabetes Using a Data-Driven Assessment Method.

Jannie T. D. Nørlev, Thomas Kronborg, Ole K. Hejlesen, Morten Hasselstrøm Jensen, Peter Vestergaard, Stine Veje Hangaard

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Evaluating the Usability of a Telehealth System for People with COPD: A Cross Sectional Study.

Sisse Heiden Laursen, Flemming Witt Udsen, Lisa Korsbakke Emtekær Hæsum, Thomas Kronborg, Ole K. Hejlesen, Stine Veje Hangaard

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 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 Veje Hangaard, Ole K. Hejlesen, Thomas Kronborg

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

Identifying Patterns in Long Term CGM and Insulin Data - An Explorative Study.

Morten Hasselstrøm Jensen, Thomas Kronborg, Stine Veje Hangaard

Proceedings of the Digital Health and Informatics Innovations for Sustainable Health Care Systems, 2024

2021

A two-layer probabilistic model to predict COPD exacerbations for patients in telehealth.

Thomas Kronborg, Stine Veje Hangaard, Simon Lebech Cichosz, Ole K. Hejlesen

Comput. Biol. Medicine, 2021

Penalty weighted glucose prediction models could lead to better clinically usage.

Simon Lebech Cichosz, Thomas Kronborg, Morten Hasselstrøm Jensen, Ole K. Hejlesen

Comput. Biol. Medicine, 2021

Preliminary Qualitative Evaluation of Patient-Related Perspectives Related to the Implementation of a Predictive Algorithm in a Telehealth System for COPD.

Clara Bender, Stine Veje Hangaard, Thomas Kronborg, Ole Kristian Hejlesen, Pernille Heyckendorff Secher

Proceedings of the Public Health and Informatics, 2021

2020

A Model for Early Identification of Chronic Obstructive Pulmonary Disease.

Thomas Kronborg, Stine Veje Hangaard, Ole K. Hejlesen

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

A Matlab Tool for Organizing and Analyzing NHANES Data.

Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Thomas Kronborg Larsen, Ole K. Hejlesen

Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

2018

Population exacerbation incidence contains predictive information of acute exacerbations in patients with chronic obstructive pulmonary disease in telecare.

Thomas Kronborg, Lasse Mark, Simon Lebech Cichosz, Pernille Heyckendorff Lilholt, Ole K. Hejlesen

Int. J. Medical Informatics, 2018