Morten Hasselstrøm Jensen

According to our database, Morten Hasselstrøm Jensen authored at least 17 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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 H. N. Thomsen, Thomas Kronborg, Stine Veje Hangaard, Peter Vestergaard, Ole K. Hejlesen, Morten Hasselstrøm Jensen

Int. J. Medical Informatics, 2025

2024

Prediction of pancreatic cancer risk in patients with new-onset diabetes using a machine learning approach based on routine biochemical parameters.

Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Ole K. Hejlesen, Stine Dam Henriksen, Asbjørn Mohr Drewes, Søren Schou Olesen

Comput. Methods Programs Biomed., 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

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

Prediction of Poor Glycemic Control in Children with Type 1 Diabetes.

Tanja F. Holm, Morten Hasselstrøm Jensen, Ole K. Hejlesen, Søren Hagstrøm, Mette Madsen, Stine Veje Hangaard

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

Discordance Between Mealtimes Reported by Trial Participants with Type 2 Diabetes and Healthcare Professionals.

Nynne Sophie Holdt-Caspersen, Claus Dethlefsen, Ole K. Hejlesen, Peter Vestergaard, Stine Veje Hangaard, Iben Engelbrecht Giese, Julie Egmose, Morten Hasselstrøm Jensen

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

Assessing a Personalized, Hybrid, and Generic Approach for Glucose Prediction in Type 1 Diabetes.

Pietro Bosoni, Morten Hasselstrøm Jensen, Riccardo Bellazzi, Simon Lebech Cichosz

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2021

Short-term prediction of future continuous glucose monitoring readings in type 1 diabetes: Development and validation of a neural network regression model.

Simon Lebech Cichosz, Morten Hasselstrøm Jensen, Ole Kristian Hejlesen

Int. J. Medical Informatics, 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

2020

Towards Prediction of Type 1 Diabetes Patients Who Fail to Achieve Glycemic Target.

Morten Hasselstrøm Jensen, Simon Lebech Cichosz, Ole K. Hejlesen, Irl. B. Hirsch, Peter Vestergaard

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

2015

Heuristic evaluation of a telehealth system from the Danish TeleCare North Trial.

Pernille Heyckendorff Lilholt, Morten Hasselstrøm Jensen, Ole K. Hejlesen

Int. J. Medical Informatics, 2015

2013

An Information and Communication Technology System to Detect Hypoglycemia in People with Type 1 Diabetes.

Morten Hasselstrøm Jensen, Toke Folke Christensen, Lise Tarnow, Mette Dencker Johansen, Ole Kristian Hejlesen

Proceedings of the MEDINFO 2013, 2013

A Diet Management Information and Communication System to Help Chronic Kidney Patients Cope with Diet Restrictions.

Sisse Heiden, Amanda A. Buus, Morten Hasselstrøm Jensen, Ole K. Hejlesen

Proceedings of the MEDINFO 2013, 2013